VP-data Resume Samples

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AW
A Wuckert
Adrienne
Wuckert
6297 Gino Square
Boston
MA
+1 (555) 439 1738
6297 Gino Square
Boston
MA
Phone
p +1 (555) 439 1738
Experience Experience
San Francisco, CA
VP-data Engineer
San Francisco, CA
Monahan LLC
San Francisco, CA
VP-data Engineer
  • Collaborating with the development manager to define best practice in big data analytics development
  • Organized and prepared to manage multiple parallel pieces of work
  • Appreciative of a diverse workforce and recognize that differences in style or perspective are one of our organisation’s key strengths
  • Knowledge of agile development methodologies
  • Assist in migration of Citi Insight infrastructure to MicroStrategy/MemSQL infrastructure
  • Working with data analysts to define logical data structures
  • Exposure to communication surveillance functions in a dynamic and challenging industry with regular close collaboration with our surveillance portfolio clients
Houston, TX
VP Data & Platforms Solutions
Houston, TX
McLaughlin, King and Langworth
Houston, TX
VP Data & Platforms Solutions
  • Be an in-house expert on how Data and Platforms can provide ROI for clients
  • Act as account leadership
  • Guide and drive use of audience data to impact media strategies for client account(s) based on overall objectives
  • Oversee relationship with DMP (Data Management Platform) and Ad Tech Solutions
  • Partner with teams to support DSP, and Data/Analytics partnerships
  • Oversee, author and/or constructively edit and review the writing of media documents (timelines, POVs, RFPs, plans, agreements, client memos, and correspondence from within and outside the agency)
  • Drive data strategy and integration into media plans focused on audience details
present
Los Angeles, CA
CIB Bacc-data Management Derivatives Ops-VP-buenos Aires
Los Angeles, CA
Ankunding-Kilback
present
Los Angeles, CA
CIB Bacc-data Management Derivatives Ops-VP-buenos Aires
present
  • Data Management
  • Working with other reference data utilities across the bank supporting reference data for the Clearing business
  • Assist with the tactical remediation of reference data where data anomalies have been identified within the existing infrastructure
  • Ensure reporting and proper escalations to the regional and global Data Management and cross functional teams
  • This role involves local management of approximately 20 people in Buenos Aires to include full management responsibilities (Objective + Development Setting, Monthly 1-1s, Recruitment, Performance Management + Financial / Expense, Issue Resolution
  • Provide support for data and system migrations to the new infrastructures being built
  • This is an extremely hands on management role and the individual is expected to know the detail of all reference data functions and be involved in the oversight of day-to-day operational tasks
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
San Diego State University
Bachelor’s Degree in Computer Science
Skills Skills
  • Strong sense of integrity, humor and resilience
  • A curious, passionate idea generator with desire to go beneath the surface of a program, find the “right” questions and distill them into clear hypothesis that can be tested
  • Proven ability to bring collaborative temperament and business acumen to data-driven initiatives
  • Proven ability to complete projects and achieve results in an ambiguous work environment
  • Experience managing large, global complex projects and teams
  • Proactive approach to driving creativity and innovation within organizations
  • Extensive experience with and effectiveness in client C-Suite interaction, relationship building and industry influence
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15 VP-data resume templates

1

Assistant VP Senior BSA / AML Data Analyst Resume Examples & Samples

  • Directly manages individuals performing details tasks of BAU and project work
  • Escalates issues to the next management level as expected
  • Minimum of six years proven and progressive experience in financial services data analysis and/or application development; AML Compliance specific experience preferred; ACAMS certification preferred
  • Minimum of a Bachelor’s degree in computer science, MIS, related field or equivalent experience
  • Strong analytical skills required to organize and analyze multiple, complex data sets as well as strong interpersonal, organizational, communication, and creative thinking skills
  • Strong database skills, including working with advanced data sets, pivot tables, advanced database and statistical functions and methods. Strong technical skills with experience using Oracle, MS SQL Server, MS Access and MS Excel (advanced functions)
  • General understanding of market place AML issues and AML suspicious activity transaction monitoring systems, data mining/analytical tools, and KYC automated solutions is helpful
  • Strong ability to quickly grasp and understand business unit specific AML risks, develop comprehensive user requirements, and provide recommendations for appropriate automated solutions to mitigate those risks
2

Wealth Management Operational Risk VP-data Control Resume Examples & Samples

  • Must have demonstrated the ability to marshal the cross organizational resources to effectively and efficiently respond to deliverables
  • Effective communication skills required including strong Microsoft Office skills
  • 5+ years of financial services experience typically required with Wealth Management experience a plus
  • Specific experience in Risk, Compliance and / or Audit a plus
  • Exposure to Operations, Technology, Legal, Compliance and Risk functions is a plus
3

Data Development Lead-VP Resume Examples & Samples

  • Market Manipulation / Surveillance covering all the Investment Banking trading products
  • Information Barrier Surveillance (Grey List, Restricted List and MNPI Over the Wall monitoring)
  • Internal Surveillance (e.g. internal consistency/behavior patterns)
  • Regulatory driven (e.g. Unidentified Large Trader / Rule 13-H) and Client Review (Suitability): Monitoring of Private Bank accounts and Sales Managers Review Compliance
  • Employee/Personal Trading monitoring
  • Design and implementation of data mapping, aggregation, filtering, publication logic for distributed and federated data-processing framework
  • Design and implementation of query and indexing frameworks to support complex analytics across distributed data sets to produce individual records, object graphs, and specific metrics for surveillance investigations
  • Develop data analystics models for better pattern detection and data discovery across all the Front Office transaction data (orders, executions, trades, positions) and market data (price, volume, trades)
  • Analyze application performance and propose solutions that will improve data performance
  • Collaborate with various global and regional stakeholders to understand cross functional requirements and convert them into reusable service components
  • B.S. / M.S. degree in Computer Science, Engineering or a related discipline
  • 8+ years of experience in design and implementation of large-scale, high-volume data processing applications, using distributed Relational RDBMS technologies such as Oracle, Sybase and MS SQL Server
  • 3+ years of experience in design and implementation of large-scale, high-volume data processing applications, using Big Data technologies such as Cassandra and Hadoop
  • 5+ years experience in database design, physical data analysis, profiling and tuning
  • Strong conceptual modeling skills and experience in both top down and bottom up data analysis
  • Ability to work under pressure and take ownership of issues. Sense of urgency to solve problems and propose solutions
  • Data modeling and large scaled RDBMS and Big Data implementation experience in Investment Banking for Market Surveillance, Front-office Trading or Analytics Systems, or other complex systems employing Data Science
  • Data modeling experience in Compliance, Investment Banking for Market Surveillance, Front-office Trading or Analytics Systems, or other complex systems employing Data Science
  • Basic Java, UNIX scripting and Autosys knowledge
4

VP, Data Sciences Resume Examples & Samples

  • Lead, recruit, grow and retain high-caliber data science talent at scale
  • Create and implement a shared vision for data science applied to product development at Visa
  • Build roadmap for data sciences working with stakeholders across Visa
  • Foster innovation and leverage new technologies
  • Champion culture changes needed to recognize and manage data as a first-order business asset
  • Build deep partnerships with business, product management, and technology leaders
  • Contribute to building Visa’s technology brand through internal and external initiatives
  • MS or PhD in Computer Science or closely related discipline, required. PhD in Machine Learning or equivalent experience required
  • 12+ years experience with 5+ years in leadership roles in a applied data science organization
  • Strong leadership and C-Suite communication skills
  • Expertise with large-scale machine learning, statistical and data technologies
  • Experience in payments or related industry is a plus
  • Experience managing and working with geo-distributed team is a plus
5

VP Enterprise Data & Analystics Resume Examples & Samples

  • Leverages existing technology and finds ways to use existing data
  • Augments existing data by combining internal and external sources
  • Drives and delivers all aspects of cross sabre analytics and business intelligence projects
  • Partners with the technology teams to deliver stable and highly available platform
  • Defines and executes monetization of data by finding new sources of revenue tied to data
  • Ensures data privacy and security
  • Works with Sabre governance team to ensure health of data is manage under governance
  • Works closely with Sabre business units in identifying, defining, and executing business intelligence and analytics opportunities
  • Consults with internal customers to develop analyses that lead to actionable insights that accelerate profitable growth
  • Assembles data from multiple sources across sabre business units including sales, product, and customer databases that create integrated views that can be used to drive decision making
  • Hire, train and supervise EDA team and ensure that team meets the reporting and analytics needs of the businesses
  • Identify opportunities to develop forecasts, statistical models, segmentation schemes, and data driven analyses to drive marketing and merchandising efforts around delivering customer value
  • Set challenging and realistic goals that reflects an exciting technical vision for how the Company will deliver data and analytics across the enterprise
  • Build a high-performance team and coalitions that are focused on addressing the needs of the business
  • Challenge the current state and make a compelling case for change and drive the necessary technical change to achieve system and enterprise goals for the business
  • Operate with flexibility and urgency and engage with others to bring out and enable great ideas. Make decisions that align with the Company’s priorities and values
  • Form and sustain valuable internal and external business relationships and networks
  • Collaborate productively and with integrity to achieve and deliver results
  • Take personal responsibility and honor commitments
  • Provides strategic direction, coaching, training, and development opportunities to the team
  • B.S. in Computer Science, or Economics, or Engineering, or Physics or equivalent
  • Highly analytical and strategic
  • A track record of designing, evangelizing and delivering enterprise data and analytics solutions in medium and large companies
  • Strong leadership skills, including the development of successors and bench strength in a global environment
  • Communication skills are key, specifically the ability to take complex concepts and explain them in a clear, understandable way. This role has significant interaction technology and businesses across Sabre
  • Minimum of 10-15 years of experience in the Enterprise Data and Analytics
  • Experience engaging successfully with C-level and other senior technical and business leaders
  • Some training or comparable experience in the in areas of information architecture and usability
  • Experience in gathering and documenting business, functional and interaction requirements
6

VP for Data Definition Resume Examples & Samples

  • Establish the documentation on data, models and defintion input and output on sensitivity, calculation and collateral for Risk and Finance department
  • Create and manage conceptual data models (CDM) and ensure that these are implemented and can be referenced consistently on an on-going basis
  • Analyse and document data, models and calculation input data for sensitivity, valuation and collateral used by risk and Finance
  • Proposed golden source of data for each concept
  • Determine and use tools for data modelling and tracking
  • Work with IB/ PB data model teams to align data models definition
  • Monitoring implementation of data models by risk and finance IT and adherence to standards
  • This role will work closely with the Business, Front Office IT, Risk IT, Controllers, Business and IT Architect Operations and counterparts in other regions
7

VP, Data Sciences Resume Examples & Samples

  • Demonstrates a clear understanding of and buy-in to Razorfish Global’s business strategy and core values
  • Collaborative, team and customer-focused leader who can manage and deliver core business technology and data solutions in a complex, global business environment
  • Demonstrates ability to work collaboratively across matrixed organizations and partners seamlessly with internal and external stakeholders to meet business goals
  • Ability to apply skills across various industry models including B2B and B2C
  • Ability to hire, inspire and lead a team of engineers & data analysts (on-shore and off-shore)
  • Must be a visible thought leader and an ambassador for Razorfish Global Data Science practice by speaking at engagements, publishing articles, attending seminars, etc
  • Extensive experience with and effectiveness in client C-Suite interaction, relationship building and industry influence
  • Excellent presenter and persuasive speaker. Must be able to communicate in a language that all stakeholders will be able to understand and to tell stories with data, ideally verbally AND visually
  • Experience managing large, global complex projects and teams
  • Proven ability to bring collaborative temperament and business acumen to data-driven initiatives
  • Proven ability to complete projects and achieve results in an ambiguous work environment
  • A curious, passionate idea generator with desire to go beneath the surface of a program, find the “right” questions and distill them into clear hypothesis that can be tested
  • Proactive approach to driving creativity and innovation within organizations
  • Strong sense of integrity, humor and resilience
  • A degree in computer science, mathematics, operations, management, or a related field is required, with advanced skills in data reporting, predictive analytics and data exploration
  • A minimum of 15 years of progressive leadership responsibility, with both professional and managerial skills clearly demonstrated. Recent experience as an Enterprise Data Technology Lead and/or Chief Data Officer is preferred
  • Additionally
  • Strong Mathematics background in Numerical Optimization, Convex Optimization, advanced Probability
  • Experience with and understanding of contemporary data intelligence technologies ranging from Machine Learning, Artificial Intelligence, Deep Learning, to data analysis technologies like Cassandra and Kognitio
  • Solid experience in Microsoft Azure including Azure Studio, AML, Cortana, BI, and Analytics feeds, Data Lakes and High Frequency Hubs
  • Strong understanding of Universal ID Architecture Models and Customer Journey Mapping
  • Experience with and understanding of 3rd Party Data Providers such as Axciom, Nelson, Adobe Marketplace and LOTAME
  • Knowledge of and points of view around Data Management Platforms is critical (Adobe Audience Manager, X+1, BlueKai, etc.)
  • Hands on experience in ML/DL Algorithm modeling and interpretation
  • Hands on experience in Feature Engineering and Data Transformation
  • Experience onboarding new data technologies and vendors, and maintaining strategic partnership with existing vendors required
  • Extensive expertise in marketing, Cognitive Commerce technologies, demand side platforms and multidimensional data modeling (both logical and physical)
  • Created data driven roadmaps and scalable data platforms for internal and client teams alike, via collaborative partnerships with Business, Marketing, Merchandising, Analytics & IT teams
  • Led data governance and architecture, data pipelining efforts (sourcing, acquisition) and data warehousing and data preparation (integration) for customers
8

CIB F&bm-qlik Data & Dashboard Lead-VP-chicago Resume Examples & Samples

  • Purpose is to ensure the success of the Qlik platform within Banking Finance & Business Management, which includes multiple, high-priority, strategic reporting and business intelligence (BI) dashboards
  • Interface with business managers and technology teams to design, develop, deploy and enhance Qlik dashboards
  • Advanced skills optimizing Qlik data models and directly developing Qlik dashboards. Qlik-specific skills must include
  • Able to manage multiple, high-priority deliverables simultaneously
  • Superior written and verbal communication skills. Comfortable speaking, presenting, and answering questions during large meetings and conference calls
9

VP, Data Modeling & Analysis Manager Resume Examples & Samples

  • Position requires a master degree or higher in Statistics, Operations Research, or Computer Science or related field
  • Advanced SAS skills with at least 5 years of data manipulation/coding experience including Basic Unix commands
  • Proficiency with exploratory data analysis, manipulation of large datasets and dealing with data quality and messy/missing data
  • Meticulous attention to detail with a focus on quality and accuracy along with top-notch verbal and written communication skills. Validation experience as well as documentation of model controls preferred
  • Candidate must be comfortable interfacing / communication with business clients
10

VP, Statistical Data Modeling Manager Resume Examples & Samples

  • Position requires a master degree or higher in Statistics, Economics, Operations Research, or Computer Science or related field
  • Must have financial data and modeling experience. Mortgage exposure preferred
  • Prefer to have prior experience in another coding language and/or statistical model coding in other languages such as: R, Matlab, Java, Python, or Hadoop/Big data etc
  • Candidate should be a self-motivated, team player with the aptitude to hit the ground running and learn on the job in a fast-pace, dynamic production environment
11

VP, Data Products Resume Examples & Samples

  • Define requirements and manage go-to-market strategies for new and existing data products
  • Conduct market research and work with external and internal clients to identify opportunities for data products
  • Define pricing strategies
  • Partner closely with the Analytics team on leveraging their projects for the proof of concept pipeline, articulate business cases, and ensure focus on high ROI products
  • Work with regional Product teams on technical sales function (in liaison with Account Executives and other client-facing Visa resources) to take the products to clients and position them in the marketplace through appropriate channels
  • Provide some ongoing support for products, for example, questions from either clients or the sales force
  • Oversee the build, commercialization, and ongoing production support of data products
  • Leveraging Visa’s existing processes, define the proof of concept, prototype, beta, production path across both technology and sales to optimize investment and minimize risk
  • Manage governance and quality of data products in production environment
  • Partnering with Technology, build and operate the data products through ongoing updates and release management
  • Partner with statistician teams and data experts on model requirements
  • Leverage Visa’s UI/UX design teams to optimize client experience
  • Strong understanding of technical and data platforms required to run at-scale, commercial data products
  • Ability to collaborate effectively across technology, sales, and regional product organizations in a matrix environment
  • Ability to articulate a compelling vision for our products that inspires a diverse audience of clients
  • Both strategically insightful and tactically disciplined to ensure we are successful in the short and long term
  • Exceptional leader of people who can recruit product management talent to fill out the growing team
  • 15+ years’ experience with emphasis in Product Management function for a technology enabled product
  • Strong experience in product development lifecycle
  • Experience partnering with technology teams in an Agile environment on product development and launch
  • Experience defining go-to-market and pricing strategies
  • International experience is a plus
12

VP-data Engineer Resume Examples & Samples

  • Assist in migration of Citi Insight infrastructure to MicroStrategy/MemSQL infrastructure
  • Designing and building data pipelines and data analytics
  • Collaborating with the development manager to define best practice in big data analytics development
  • Challenging and helping to direct our technical roadmap and proposing the adoption of new technology or techniques
  • Providing breakdowns of project deliverables and estimates
  • Assist in the resolution of production issues when required
  • Mentoring team members
  • Working with data analysts to define logical data structures
  • Encouraging self-learning among the team
  • A confident and tenacious data engineer with an authoritative knowledge of Java, Hadoop, Apache Spark and MemSQL and/or other distributed data platforms
  • Comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques
  • Able to demonstrate an expertise in identifying and resolving data quality issues – in data sets at rest and in flight
  • An expert SQL coder and at ease writing Linux shell scripts
  • Experienced with automated build and test processes
  • Highly adaptable and be willing to mentor and train more junior team members
  • Appreciative of a diverse workforce and recognize that differences in style or perspective are one of our organisation’s key strengths
  • Opportunities to demonstrate leadership ability as you mentor and guide the delivery of junior team members
13

Data & ENS Japan Lead, VP Resume Examples & Samples

  • The successful candidate will lead a team of highly technical Voice Network Engineers across Asia (Japan, Hong Kong and India) and be part of a Global Operations group supporting the overall Morgan Stanley Data & Voice services
  • The candidate will be responsible to lead the Asia Voice Operations team in supporting the global Voice infrastructure, including Incident, Problem, and Change Management as part of a global “follow the sun” group
  • Voice Services include
  • The successful candidate will represent all ENS functions in Japan, supporting the local EI management and Business Units
  • The successful candidate will have oversight of all ENS employees in Japan
  • The successful candidate will have 7+ year experience in a similar position in an equivalent Financial Services firm
  • Hands-on experience with Voice Technologies
  • Voice Network Skills
  • Excellent Incident / Troubleshooting skills
  • Leadership and Mentoring skills in a highly technical environment
  • Ability to prioritize along with very good time management skills
  • Ability to work in a team and global environment
  • Sense of ownership/accountability
  • Flexible and adaptable to meet the team needs
14

Associate VP, Data Execution Resume Examples & Samples

  • Help define strategic plan that includes a strong operational and executional plan related to staffing, technology plans, investments, and priorities
  • Help build a data-driven culture within the NBA and inspire the adoption of a experimentation mindset for the league and teams
  • Be the evangelist and champion of the CDS team league and team stakeholders across the company which includes developing a regular cadence of communications and reporting to key stakeholders and partners
  • Partner with an expanded peer set in Team Business and Operations, Marketing, IT, and Media to execute flawlessly
  • Very strong executor with a proven track record in driving flawless operations and executional excellence with very strong attention to details
  • Customer Relationship Management, Digital Marketing experience
  • Passion for customer data and its ability to transform and drive marketing success
  • Experience executing on large scale marketing solutions that involve multiple vendors and both internal and external stakeholders
  • Strong business acumen coupled with the ability to evangelize findings to both business and IT in a way that strongly influences behavior and change
  • Comfort working under new and ambiguous areas to help shape the organization’s vision, mission, approach and standing within the broader NBA organization
  • Strong communicator with right blend of intellect and influence to act as the evangelist for what this team can bring to the organization’s current success
  • A minimum of 10 years in the Customer Relationship Marketing arena and/or Marketing/Operations execution
  • Experience running large scale program management initiatives that delivered strong groundbreaking outcomes back to the customer and company
  • Demonstrated success in evangelizing the purpose of an enterprise global team within a highly matrixed environment
  • Ability to juggle multiple priorities with many stakeholders
15

Assistant VP Ccar Operational Risk Data Specialist Resume Examples & Samples

  • Minimum 5-7 years of experience with a financial services firm, including knowledge of CCAR
  • Intermediate to advanced skills in Excel and PowerPoint
  • Excellent execution skills with the ability to work successfully under demanding deadlines
  • Ability to plan and prioritize, and escalate when necessary
  • Ability to build and maintain relationships with various parties involved in projects or for business-as-usual activities
  • Experience in drafting policies and procedures
  • Ability to interpret numbers and synthesize
16

VP, Data Monetization Resume Examples & Samples

  • Bachelor’s Degree in relevant discipline (Math, Statistics, Computer Science, Engineering or Health Sciences)
  • 10+ years of experience in Healthcare Revenue Cycle analytics and/or data monetization commercial activities
  • 5+ years of progressively responsible experience in areas of data management including data architectures, databases, development & analytics
  • Creative, ‘out-of-the-box’ thinker who is willing to ‘roll up their sleeves’ to accomplish initial objectives and lead through example while growing the business
  • Sound knowledge of ETL and data monetization
  • Proven track record of creating data strategies and roadmaps
  • Ability to interact with technical and non-technical stakeholders to determine current data sets and identifies opportunities for commercialization
  • Knowledge and experience with business intelligence tools and capabilities
  • Desire to work in a fast paced, unchartered environment
17

Assistant VP-data Controls & Reconciliations Resume Examples & Samples

  • Perform risk assessment of data flows, identify gaps in controls, document these risks in risk and control matrix and follow up on the gaps to ensure closure
  • Perform daily monitoring of controls/reconciliations as second line of defense
  • Follow the Control & Reconciliation framework, processes, policies and procedures
  • Coordinate with offshore team on data control monitoring, metrics, and dashboards
  • Produce and distribute daily/weekly team Status reports
  • Bachelor's degree in accounting/finance or equivalent combination of education and experience
  • 6+ years of professional level data management or financial controls experience
  • 3 to 5 years’ experience in Project management / Business Analysis in a financial institution
  • 2 – 3 years’ experience in Controls/Reconciliations within a Bank / Financial institution
  • Experience in evaluating and implementing internal controls
  • Be a self-directed individual with the ability to work autonomously
  • Ability to work under pressure, manage variable workload and creatively address various topics
  • Develops open, considerate, effective and productive working relationships with customers, external contacts and individuals within CIB/IS perimeter
  • Draws information from the market and applies broad knowledge base to make timely and logical decision that provides practical solutions for customers and others
18

CCB Risk Risk Data Manager, VP Resume Examples & Samples

  • In depth knowledge of the lines of business Risk data requirements for Analytics, Reporting, MIS and Decision capabilities
  • Work with the CCB functions and segments to establish high quality metadata for all CCB Risk Domain data
  • Responsible for executing Data Management control activities e.g. documentation, certification, etc
  • Execute roadmap/plan for Risk Domain data to be certified and/or documented in the authoritative source and available for use by Risk and all functions
  • Partner with Technology to ensure timely delivery of Risk data for Risk analytics and decisions, risk reporting and risk modeling
  • Constantly monitor and report on progress of Risk data to all stakeholders
  • Manage multiple high priority initiatives in the CCB Risk organization
  • Work closely with senior business leadership to define requirements and develop solutions; create order out of ambiguity; set direction
  • Deliver insightful recommendations in a persuasive and thoughtful manner
  • Build consensus and effectively influence senior stakeholders with disparate priorities
  • Adopt a pragmatic approach in driving projects from ideation stage to execution
  • Develop granular project plans with clear delineation of roles, tasks, milestones, and measures of success
  • 8+ years financial services experience, preferably in credit card, consumer or business banking
  • Knowledge of both theoretical and practical aspects of data management
  • Critical thinking, thought leadership and proven business acumen
  • Strong leadership skills with proven ability to influence change and communicate with diverse stakeholders
  • Exceptional oral and written communication skills and ability to formulate insights around complex business problems
  • Relationship builder – who is solutions oriented and can effectively link the interest of multiple stakeholders
  • Ability to adapt quickly and work independently
  • Strong personal initiative and good judgment
  • Excellent skills in PowerPoint and Excel, knowledge of SQL queries and Business Intelligence tools such as Cognos or Tableau
  • Bachelor’s Degree in Business or related field; Master’s degree preferred
  • Preferred experience in consulting, credit risk management, or internal strategy roles in the Consumer financial services industry
19

Um-VP, Data Director Resume Examples & Samples

  • 5+ years’ related experience required
  • Experience with Mediatools and Mediaocean required
  • Strong excel experience (including macros) required
  • Strong problem solving and analytical skills
  • Strong verbal, written, and organizational skills
20

VP of Analytics & Data Enablement Resume Examples & Samples

  • Be the leader of data insights that help drive strategic and tactical business opportunities, and be a champion for a data-driven, decision-making culture for Medicare & Retirement’s Insurance Solutions business
  • Lead a team of leaders in the areas of Marketing Decision Science, Marketing Performance and Optimization, Data Strategy and Consumer Engagement Technology
  • Be the leader with responsibility and accountability for enterprise information assets
  • Work to identify methods of leveraging data in rapid fashion to enable business value
  • Work with executives and senior leaders to establish vision, and to create a culture that treats data as a cross-corporate asset
  • Define job roles, capabilities, functions, and processes to maximize the effectiveness of data / information teams across the segment and help empower each group to provide business value through data and analytics insights
  • Lead the business forward with the appropriate use of emerging big data and machine learning solutions
  • Help develop and maintain controls on data quality, interoperability and sources to effectively manage corporate risk
  • Identify new kinds, types and sources of data to drive business innovation throughout the organization. Define processes for the effective, integrated introduction of new data
  • Help define and champion policies and programs for data stewardship and custodianship in concert with data governance, legal, information security, and corporate risk and compliance offices
  • Champion and define the value of master data and metadata management policies, controls, and standards, including reference data
  • Influence the development, publication and maintenance of the corporate information architecture, as well as a road map for its future development that matches and supports business needs
  • Champion and define the value of data quality monitoring systems. Measure master data and reference data for compliance to policy, standards and conceptual models
  • Champion and define the value of policies and controls for the appropriate protection of enterprise information assets through a defined life cycle from acquisition or creation to end of life destruction and disposal procedures
  • Other Responsibilities
  • Represent the enterprise to regulators, customers, suppliers and external bodies in the development of industry information standards
  • Be a marketing champion for the information services that the enterprise provides and the information management capabilities it has
  • Ensure that appropriate audit controls exist for data that serves as the source material for regulatory reports
  • Ensure that the data used for financial reporting and to support legal requirements is valid, reliable, traceable, timely, available, secure and consistent
  • Self-starter who can perform in a fast-paced environment and deal with ambiguity
  • Proven ability to communicate ideas clearly and concisely with business partners, senior executives, and strategic partners
  • Prior experience and proven success in obtaining results working in a large corporate, matrixed environment
  • Proven collaborator with excellent relationship skills; the ability to influence and lead through others
  • Detail-oriented and thorough; possesses strong operational disposition
  • Proven track record of leading enterprise scale, complex technology programs successfully
  • Previous people leadership and management skills, including direct experience leading, managing and mentoring teams of project and program managers
  • Successful track record of delivering programs on scope, on time, on budget, on quality and on benefit
  • Ability to understand and communicate technology matters to business partners, senior executives, and strategic partners
  • Proven experience interfacing in the C-Suite of large organizations
  • Demonstrate ability to lead and navigate a large-scale organization through change and evolution. Including managing large virtual teams and resources (remote, domestic, and offshore, etc)
  • Capable of facilitating process streamlining, automation, and continuous improvement activities leading to efficiency gains and speed to market
  • 7+ years working in business operational improvement, program management or financial and/or risk auditing positions
  • 2+ years of experience leading Director level employees
  • 2+ years of experience leading business data transformation programs / initiatives
  • Advanced degree with heavy quantitative focus
  • Execution experience for large organizational transformations
  • Health industry experience
21

VP Data Sciences Resume Examples & Samples

  • Direct the development activities of data engineering teams
  • Recruit, manage and continuously develop innovative products through leadership and collaborative team building
  • Become an expert in Conversant’s core data platforms and all its various components
  • Be an active spokesperson and evangelist internally and externally by communicating and promoting Conversant’s technology vision and solutions
  • Stay abreast of new technologies and issues in the global ecosystem, including competitive technologies, platforms and associated solutions
  • Assure that the engineering team is equipped to resolve system problems 24 x 7
  • Define, prioritize and execute a flow of product enhancements and operational improvements designed to enhance revenue and efficiency
  • Develop and communicate overall positioning, benefits, features to internal and external stakeholders
  • BS in Computer Science or related technical discipline or equivalent work experience
  • Extensive data warehousing and industry knowledge in Ad Tech and Measurement
  • Proficient in the development of competitive assessments and positioning; product planning and road map definition; sales training and presentations
  • High level of business maturity to represent the company in business partnerships and client discussions
  • Excellent management experience to scale a large technology and engineering team & drive direct impact on the business
  • 10+ years of successive experience including previous VP experience
  • MS or PhD in Computer Science
  • Experience with NoSQL databases and “Big Data” technologies
  • Proficient in the development of competitive assessments and positioning; product planning and roadmap definition; sales training and presentations
22

VP Employee Data Mgmt Senior Specialist Resume Examples & Samples

  • Employee Data Management, Administration and Maintenance
  • Reporting
  • Support maintenance and development of new and existing HR interfaces
  • Collaborate with RPO recruiting coordinators to support onboarding of new resources
  • Monitor system data feeds for errors and process as necessary
  • Processes/validates updates on employee data including cost center changes, transfers…etc
  • Efficiently manages employee termination processing in timely and sensitive manner
  • Reconciles data between PeopleSoft and other internal IT systems
  • Support daily maintenance of HR data tables
  • Perform the I-9 process
  • Perform, document and report all controls & procedures relevant to Employee Data Management
  • Maintain and administrate physical copies of employees’ files
  • 7+ years of relevant industry experience
  • Bachelor’s degree or higher in Human Resources, Business Administration or related field
  • Excellent written and verbal communication
  • Ability to adapt to changing priorities
  • Able to work well independently and in a team environment
  • Strong project management skills and solid organizational skills
  • Proven client service oriented mindset
  • Strong Excel and PowerPoint applications required
  • 4+ years of HR experience preferred
  • Experience with HR core processes
  • Good knowledge of PeopleSoft preferred
  • Not Applicable
23

CIB Bacc-data Management Derivatives Ops-VP-buenos Aires Resume Examples & Samples

  • Provide hands on daily management of the reference data teams
  • GAP - Global Account Profiling
  • OTC Onboarding Support
  • EGUS Maintenance
  • JP Morgan Markets (JPMM) Account Setup/Maintenance
  • This role involves local management of approximately 20 people in Buenos Aires to include full management responsibilities (Objective + Development Setting, Monthly 1-1s, Recruitment, Performance Management + Financial / Expense, Issue Resolution
  • This is an extremely hands on management role and the individual is expected to know the detail of all reference data functions and be involved in the oversight of day-to-day operational tasks
  • Managing reference data queries and maintaining data integrity including corporate action processing
  • A proactive individual who is self motivated, demonstrates initiative, innovation, and solid problem solving skills
  • An individual who is committed and willingly takes accountability for completing tasks and resolving difficult issues
  • Excellent communication skills with the ability to present information in a concise and informative manner
  • Must demonstrate a very strong control orientated mind-set to ensure accurate operational processing across the function
  • Ability to collaborate with business, Technology and functional experts to recognize risks and design enhancements
  • Deals comfortably with ambiguity and uncertainty; effective at working within a cross location matrix organization
  • Ability to successfully navigate a complex organization that involves numerous groups and individuals and “think outside of the box” for achieving results
  • Strong analytical skills, logical thinker with strong attention to detail and controls
  • Very strong IT skills, in particular Excel
  • Basic understanding of the F&O and OTC lifecycle
  • Prior experience of data analysis or reference data preferred but not essential
  • Deals comfortably with ambiguity and uncertainty; effective at working within a cross location matrix organisation
24

HBO VP, Data & Business Intelligence Resume Examples & Samples

  • Responsibility for analysing all viewing data to identify and cluster customer segments
  • Capturing and managing data to provide strategic direction for marketing and other commercial functions
  • Responsibility for subscriber reports and the gathering of data in the most effective and efficient way
  • Responsibility for keeping the Company informed about market trends, new relevant findings in data, subscriber figures etc
  • Organising HBO Europe’s data assets to maximise their value to our commercial partners
  • Building internal data collection capabilities
  • Responsible for building predictive and content recommendation engines
  • Collaborating with other departments within HBO Europe, HBO Domestic, and Time Warner and its divisions (Turner, Warner Bros.) to leverage the global scale, brands and data to drive ever more effective business intelligence
  • Ensuring HBO is at the forefront of driving and adopting new techniques and approaches to primary and secondary research through innovation and creativity
  • Overseeing budget for the data insights, research and BI projects
25

VP, Data Product Solutions Resume Examples & Samples

  • Articulate overall multi-year product portfolio strategy for Vantage data platform, including specific solution offerings (by vertical, by environment, by marketing goal) that map to both partner goals and Viacom strategies, inclusive of media strategies, appropriate data partners and effectiveness research
  • Deliver quarterly evaluations of product portfolio, identify gaps for the present and future, and work to ensure opportunities are appropriately captured and prioritized, inclusive of financial and strategic opportunities and goals
  • Work in partnership with sales teams as well as product and data solutions teams to deliver market-leading product offering; includes regular meetings with internal and external partners to assess state of the market and requirements for leadership position in market
  • Own reporting and outcome packaging and delivery for Vantage campaigns, including mid-campaign reporting as well as campaign wrap-ups and effectiveness research
  • Build and deliver frameworks and best practices for evaluating potential data partnerships inclusive of business model, client/ market fit, operational details, time to market and scalability
  • Own relationships with current data partners, set partnership priorities and ensure that Viacom needs are met and exceeded by external partners
  • Own competitive intelligence for Vantage suite and Viacom advanced TV offering
  • A deep understanding of customer research, audience targeting and advertising business models, both current and emerging, with proven experience delivering data-driven advertising and marketing solutions
  • Experience in evaluating, structuring and executing data partnership agreements customer targeting, marketing analytics and custom research, with track record of successfully delivered deals
  • Outstanding written and oral communication and presentation skills, deep experience presenting to large and small audiences, senior executives as well as operational teams
  • Experience using analytical skills, including financial modeling, market opportunity analysis or predictive modeling
  • Proven experience, thought leadership and results leading ad tech and/or data science partners practices within digital media, online video or television over the past 8+ years
  • A track record of exceptional partnering across a wide-array of internal business groups, agencies, executive stakeholders and execution
  • Strong point of view on evolution of television and programmatic marketplace, articulated in terms of multiple industry perspectives and goal sets
  • Advanced degree or certification preferred
  • An entrepreneurial approach with a bias for action that is passionate about building businesses within a fast-paced environment, while changing the way partners perceive our brand and our product
26

VP, Data Center Solutions Resume Examples & Samples

  • Responsible for business unit P&L. Deliver required sales revenue, gross profit and growth metrics in the respective technology and practice areas
  • Responsible for developing and executing against annual strategic and operating plans for System Solutions and associated tactical plans
  • Build and foster relationship with our strategic and emerging partners and customers
  • Work with sales organization to ensure we have an effective and efficient sales support model
  • Ensure efficient sales coverage model and processes that leverage technical presales resources in the most effective manner, targeted towards appropriate opportunities
  • Build, train and enable a team of high-performing solution architects and presales specialists
  • Work collaboratively with sales teams to sell data center solutions
  • Engage directly with customers and present CDW capabilities in sales calls and high profile events
  • Work with Marketing to develop and execute campaigns and programs
  • Collaborate closely with PPM Data Center team to develop and execute plans that grow CDW’s strategic partners and provide the desired return on their investments
  • Work closely with PP to determine the appropriate level of support and attention for the partners in the Data Center focus
  • Oversee the development of competitive sales strategies
  • Collaborate with the sales teams to ensure sellers are educated and enabled to sell solutions
  • Analyze market opportunities, quantify results and take appropriate steps to obtain goals
  • Ensure CDW solutions drive and influence all potential profit sources including product resale and services
  • Oversight for the overall development of all related solutions
  • Provide direction, manage and hold teams accountable for results including financial targets, coworker engagement and customer satisfaction
  • Foster pervasive communication/collaboration across entire management team
  • Encourage effective decision making and problem solving
  • Manage and analyze metrics and act on the results
  • Bachelor’s degree in Business Management, Sales and Marketing, Management Information Systems, or relevant major
  • Seven years of leadership experience
  • Seven years of sales and/or leading a technical pre-sales team
  • Experience managing leaders
  • Effective formal/informal presentation skills
  • Two years of experience selling, delivering or supporting the sales of complex technology solutions
  • Ability to lead and manage to ensure attainment of critical results
  • Critical decision making skills and the ability to apply previous experience to the current role
  • Experience managing business partnerships
  • Strong listening, negotiation and closing skills
  • Must be able to travel
  • Executive level experience
  • Two years of Profit and Loss responsibility
27

VP, Biostatistics & Data Management Resume Examples & Samples

  • Responsible for maintaining a broad understanding of relevant external global trends, anticipating emerging issues relevant to the department, identifying strategic needs in technical knowledge, and setting the strategic direction for the department in alignment with business needs
  • Accountable for department resource estimation and budget control; delegates operational planning and implementation to subordinate staffs as appropriate
  • Has primary responsibility for making decisions and managing departmental risks that will have long-term impact on the assets and reputation of the Company
  • Establishes organizational structure for department and provides supporting business case
  • Establishes standards for technology and resources used within the department including policy, practices and operating procedures
  • Creates networks with external thought-leaders and influences internal and external decisions to ensure quality of study designs and analyses; appropriateness of inferences, conclusions and claims; and alignment with GHI strategic interests
  • Invests in the Biostatistics & Data Management team culture and environment to build high morale and commitment to company, team and individual goals and objectives
  • Member of Genomic Health Executive Team and Translational Sciences Sr. Staff. Attends business review meetings and thoughtfully cascades information as appropriate throughout the department to ensure alignment of staff with company goals
  • Fosters innovation and participates as one of the decision-makers in reviews of early development activities
  • Participates in due-diligence assessments and integration activities for business development opportunities
  • Direct management responsibilities, including but not limited to, goal setting, performance and compensation review, coaching, mentoring and development of leaders and highly skilled professionals
  • Other responsibilities as assigned
  • Ph.D. in Biostatistics/Statistics or comparable demonstrated technical ability
  • 25+ years of relevant experience, including 15+ years management experience and 10+ years industry experience
  • Demonstrated solid grounding in theoretical and applied statistics
  • Experience publishing in peer-reviewed scientific journals
  • Experience in an FDA-regulated environment, including interactions with statistical and medical reviewers; knowledge of GxP
  • Experience collaborating with data management; awareness and appreciation of relevant concepts and regulations
  • Effective decision-maker who considers cross-functional and global perspectives, and applies knowledge, detailed analysis, seasoned experience, and sound judgment in making decisions that may involve limited or ambiguous information
  • Ability to engage cross-functionally and demonstrate organizational alignment with company values and goals
  • Demonstrated leadership abilities and enthusiasm to hire, mentor, develop, and inspire a group of highly effective, qualified individuals who implement and, in some cases, establish the development and commercialization strategy for all Company products
  • Experience with design and analysis of clinical trials
  • Demonstrated ability to lead collaborative efforts to obtain and analyze complex data
  • Strong verbal, written, and presentation skills; strong communicator with ability to maintain open communication with staff, customers, stakeholders, external collaborators, and senior leadership
  • Experience managing a departmental budget
  • Actively seeks, integrates and applies feedback in a professional manner
  • Able to prioritize and drive to results with a high emphasis on quality
  • Demonstrated commitment to own personal development
  • Experience in design and analysis of oncology clinical trials and genomic studies; sound knowledge of survival analysis and methods for analyzing observational data
  • Experience in design of experiments, analytical and methods development, process optimization, and statistical process control
  • Experience using “big data” for discovery purposes and to generate evidence of clinical utility or cost-effectiveness
  • Record of peer-reviewed publication of oncology clinical trials and/or cancer epidemiologic studies
  • Knowledge of 21CFR Part 11 requirements and principles of software validation
  • Familiarity with data management systems & procedures
  • Experience with business development integration
  • Experience developing and commercializing molecular diagnostics, including laboratory developed tests and/or in vitro diagnostics
  • Experience with PMA and 510(k) submissions
  • Knowledge of SAS or R programming
28

Banking Ops Data Analyst, Assistant VP Resume Examples & Samples

  • Collaborate with the Mortgage Servicing and Default teams to understand business problems and develop new analytic solutions that add business value
  • Collaborate with Operations Support team members to automate existing reporting processes
  • Convert/Automate existing Excel and Access reports using SQL Server Reporting Services (SSRS), SharePoint Power Pivot and other DataMart reporting tools
  • Design and develop ETL processes using T-SQL and SQL Server Integration Services (SSIS)
  • Support ADHOC data requests for audits and projects
  • Perform requirements gathering and analysis
  • Perform other related duties as assigned or required
  • Knowledge of database architecture and design, reporting, with proficiency in Microsoft Access, Excel, Word, Visual Basic, SQL Server, Sharepoint, RUMBA, and Black Knight Financial Services Mortgage Servicing Platform (MSP)
  • Excellent verbal, written, and interpersonal communication skills to interact professionally with various levels of management, peers, and key partners within the Bank
  • Ability to understand when to escalate issues to management for further direction
  • Strong organizational skills and ability to manage multiple assignments
  • Ability and willingness to work independently
  • Experience that demonstrates the skills and qualities that are required for position
29

Assistant VP Senior Referential Data Analyst Resume Examples & Samples

  • Act as a subject matter expert on referential data used for the US regulatory reporting across their type (3rd party, securities, FX rates etc.)
  • Perform business analysis and document business requirements leading to the setup of a centralized data set that would be consumed for all US regulatory reporting requirements
  • Define control requirements associated with this data set so as to reduce the operational risk linked to its use to the minimum
  • Partner with Client Management ITO and various business lines to implement process enhancements and augment the control framework as necessary around referential data capture
  • Define data quality rules on referential data and coordinate their implementation and the production of key quality indicators
  • Document functional and ensure the documentation of technical lineage for all referential data sets in coordination with head office teams managing our centralized platforms
  • Support the definition of business terms associated with referential data to be used as a referent framework for the platform
  • Propose business definitions and unified business processes to populate and control shared data throughout the enterprise
  • Identify root causes and remediation of sourcing and data quality issues
  • Liaise with Data Governance to support the data community development by contributing referential data conversations
  • Foster collaboration with Bank of the West
30

VP Apps & Enterprise Data Mgmt Resume Examples & Samples

  • Program Management:Accountable for the strategic vision and execution of clinical and business applications, enterprise-wide data governance, data acquisition, data management, data protections, stewardship policies, process and practices to build out data and business technology assets that fuel the analytics and operations needs of the Presence Health business areas and service lines. Responsible for directing the assessment of solutions including the analysis of service line specific and system-wide impacts associated with solutions. Leads development and execution of multi-year application programs that address current and emerging priorities and enable solutions in the areas for clinical and business applications, data, analytics, and shared solutions
  • Clinical and Business Application Management: Develops application delivery strategies in conjunction with other IS leadership and business partners. Implements appropriate service delivery models for core application functions. Responsible for management of the implementation and ongoing maintenance of all applications, including Epic and PeopleSoft. Ensures the development and implementation of standards, guidelines and policies for evaluation, implementation, development and management across the Presence Health enterprise
  • Data Stewardship and Governance: Accountable for Presence Health internal data stewardship and governance, balancing data access and use with the need to protect these strategic data assets and business applications and ensures solutions meet regulatory and legal requirements. Coordinates with the Director of IS Security to align efforts. Leads, directs and sets strategic priorities for all Enterprise Data Service operations. This may include vendor selection, contract negotiation and vendor management; daily operations, performance auditing, problem resolution, clinical or business education and billing. Leads implementation efforts for all shared applications, develops implementation strategies, testing strategies and ensures successful implementations
  • Partnership Development:Builds strong relationships with business partners across Presence Health to ensure that the Applications and Enterprise Data solutions meet organizational requirements. Partners include but are not limited to: Finance, HR, Clinical Operations, Supply Chain, Revenue Cycle, Compliance, Legal and Support Services. Builds internal consensus on solutions that enhance the patient and business experience, through thoughtful engagement, demonstrated business acumen and influence. Accountable for improving the functionality, efficiency, and quality of support for data and business application solutions and for interactions with IS teams
  • Team Development: Leads and develops staff in support of Presence Health and IS initiatives. Ensures successful operation of the department by selecting, supervising, developing and evaluating the activities of staff and measures the effectiveness of their efforts in meeting departmental objectives. Conducts required/effective management responsibilities including taking corrective action when necessary and ensures that all activities are performed in compliance with Presence Health policies, standards and procedures. Builds a culture to support Presence Health values and leadership competencies and delivers operational excellence and efficiency
  • Financial Oversight:Provides financial oversight of the capital and operating expenses associated with Enterprise Data Solutions, Clinical and Business Applications. Ensures program is managed within budget
  • Ability to be flexible in supporting 24/7 operations
  • Availability to travel between ministries and business partners
  • Bachelor’s degree in business, information technology, data analytics, healthcare or equivalent experience
  • Minimum 5 years of financial services, health insurance or health care experience with demonstrated career progression including at least 4 years at the senior level
  • Minimum 15 years of experience working in business analytics and/or IT related fields
  • Minimum 10 years of experience with the development and implementation of major initiatives
31

VP, Enterprise Data Platforms & Architecture Resume Examples & Samples

  • Educate and influence senior IT and business leadership in the data management domain, articulating conceptual ideas and their impact to a widely divergent audience using excellent verbal, written, and listening skills
  • Manage Data Vendor Enterprise contracts on-behalf of TWDC including strategic partnerships that span all lines of business and domains
  • Define the Data Strategy to identify technical solutions and capability gaps against the roadmap of all TWDC data domains, based on the analysis of Disney’s business goals, objectives and needs, and ensures alignment with other key technology functions
  • Work with business partners to develop and/or evaluate business cases and align the architecture solution to meet stated business requirements
  • Define architecture strategies and approaches to advance Enterprise Technology and Segment data initiatives
  • Provide technical leadership a team of Directors who manage sustainment, governance and project teams, clarifying business needs and requirements of highly complex systems
  • Provide strategic direction and oversee the integration of emerging Big Data platforms and tools for advanced analytics including machine learning/data science
  • Identify opportunities for common solutions across the enterprise, which span transactional, operational and analytical platforms, collaborating within the architecture and development communities. Partner with enterprise architecture team to ensure consistent, high-quality and repeatable designs
  • Provide data management industry insight and guidance. Research, analyze and assess advanced and emerging technology solutions in multiple technology domains, anticipating the impact on architectures and systems
  • Partner with business executives and senior architects to identify data and process issues, then provides solution options and recommends options
  • Provide recommendations on system options, risks, cost/benefit analysis, and impact on cross-domain systems, business strategy, goals and processes
  • Define appropriate metrics to measure success and service levels
  • Manage a team of Directors and Principals including recruitment, development and performance management of all direct reports. This position is projected to oversee a team of approximately 50, consisting of architects, engineers, developers, and database administrators
  • Contribute to security and risk assessment activities and vendor management strategies
  • Demonstrated planning, change management, consulting and communication skills, analytical ability, negotiation and management skills
  • Detail-oriented, self-motivated individual with strong analytical and research skills
  • Must be a team player with demonstrated customer and delivery focus
  • 15+ years of experience in programming/systems analysis and business experience
  • 7+ years providing architectural direction to project development teams or equivalent combination of education and work experience
  • 5+ years of demonstrated Data platform experience, preferably in a large-scale consumer focused industry
  • 3+ years of designing architectural reference material, preferably within a TOGAF or similar frameworks
  • Experienced with systems utilizing high volume and complex data processing, database platform selection and optimization, metadata management suites and OLAP technologies
  • Experienced with Hadoop technologies and management of a hybrid data environment
  • Solid understanding and experience with formal project life cycle methodologies
  • Knowledgeable regarding data architecture, data stewardship, data quality, ETL/ELT, Hadoop, Warehousing, Data Science and business intelligence tools, and techniques. Certifications a plus
  • Proven experience in overall data management, data modeling, metadata management, master-data management and data movement
  • Bachelor’s degree, with equivalent work experience in MIS, Computer Science or related discipline
32

VP AML Data Ops Resume Examples & Samples

  • Oversee daily production and quality output of the team while developing and implementing minimum standards
  • Implement and execute day-to-day controls and ensure timely escalation
  • Assist in managing / leading the team to oversee the deployment of GFC related activities
  • Ensure the development and maintenance of up-to-date documentation of policies and procedures
  • Identify and develop areas for improvement for example, system enhancement, process controls to improve the throughput, quality of work, supervisory reviews, etc
  • Ensure staff receives appropriate training and development, assist in developing training plans and provide coaching where necessary
  • Promote a culture of high performance and continuous improvement with a commitment to quality
  • At least 10 years of relevant working experience with a global financial service company preferably in Law, Compliance or Risk and Controls functions
  • Proven track record in managing high performing teams with at least 2 years of management experience
  • Good project management and people management skills
  • Proactive and able to work independently
  • Structured and analytical approach
  • Detail oriented, thorough and thoughtful
  • Practicable and strong problem solver with the ability to think creatively
  • Ability to work as a team player as well independently
  • Expert/ Proficient in MS Excel, PowerPoint, Word
33

VP, Data Technologies Resume Examples & Samples

  • 10+ years of experience with enterprise applications supporting product strategy or product marketing
  • 10+ years of experience in analytics, reporting, data work including architectural design and system lifecycle management, preferably with big data solutions
  • 7+ years of experience managing cross functional teams and managing both remote and direct groups
  • Proven ability to translate technical functionalities to direct business benefits
  • Extensive experience working with distributed systems and teams
  • Established track record working alongside Senior and C-Suite executives to establish the best practices for using customer data to support overall business strategy
  • Familiarity working with very large data sets
  • Experience with Hadoop or Hive
  • Professional experience scaling Hadoop to store, process, model, and expose all company’s sales, media, marketing, customer, operations, and supply chain data
  • Experience with a focus on data governance for a globally distributed Hadoop system in compliance with company structure and local data privacy laws
  • Knowledge of and experience with management (theory and practice)
  • Knowledge of all components of data warehousing and big data platforms
  • Knowledge of business re-engineering principles and processes
  • Basic knowledge of financial analysis
  • Politically savvy
  • Ability to gather data and synthesize information
34

Assistant VP-market Data Resume Examples & Samples

  • Sourcing of data from external data providers like and/or internal systems
  • Conducting in-depth data analysis using qualitative and quantitative techniques
  • Liaising with internal teams to ensure good quality data.ie : MRM / Front office/ MRO
  • Analysis of reference data feeds
  • Understanding of regulatory challenges like BCBS guidelines
  • Assist with market risk methodology changes
  • Perform proxy review analysis and provide inputs to Risk managers
  • Provide solutions – fixing data issues, assisting projects such as BCBS implementations, market risk methodology changes etc
35

VP Data Sciences Resume Examples & Samples

  • 10+ years working with credit card transaction data
  • 10+ years data validation
  • 10+ years leading analytics team
  • 10+ years SQL – e.g., PostgreSQL (ideal), Oracle, SQL Server, DB2 – to support analytics
  • Knowledge of modeling and modeling tools – e.g., SAS, R, SPSS
  • Tableau skills are a plus
36

Data Management, VP Resume Examples & Samples

  • Data Governance (Policies & Procedures)
  • Data definition, Meta data management, Data dictionary, Data steward
  • Issue Management, Change Management
  • Risk & Control Assessment
  • DM Tool Implementation
  • Stay involved and up to date with the Industry’s best practices in the space of Data Governance and Data Management
  • Significant experience and track record of delivery of major risk and finance initiatives at large and complex financial institutions
  • Deep understanding of risk and finance processes as well as the technologies and data which enable these
  • Strong knowledge and experience of regulatory change management is preferred
  • Strong communication skills: Both written and oral with technical and non-technical staff
  • Tolerance and understanding in multi cultures
  • Bachelor’s degree in finance, accounting, business, economics mathematics, physics or computer science
  • Intermediate Excel skills (pivot tables, Vlookup, etc.), Visio, and PowerPoint (PPT)
37

Hmda / CRA Data Manager, VP Resume Examples & Samples

  • Bachelor’s degree or equivalent work experience. 5 – 7 years of HMDA / CRA data integrity management experience with a mortgage or lending institution is required
  • Proficiency and hands-on experience using SQL, CRA Wiz and MS Access are required. Significant and strong MS Excel skills desired
  • Excellent ability to analyze, communicate verbally or in writing and make recommendations effectively regarding complex laws and regulations to line personnel and senior management
  • Demonstrate superior leadership, consulting, presentation and project management skills
38

Asset Management F&BM Client & Data Business Manager VP Resume Examples & Samples

  • Managing diverse projects across the various functions of the bank
  • Working on a number of initiatives throughout EMEA
  • Monitor, oversee and control key EMEA BAU processes
  • Documenting and rolling out processes, procedures and other project-related materials
  • Creating project plan, status reports, scorecards and presentations for relevant committees and senior management
  • Dealing with ad-hoc queries relating to systems, documentation and client information
  • Communicating regularly and partnering with control functions and the business throughout EMEA on project-related matters
  • Liaison with senior position holders within the Bank
  • Tracking, escalation, communication and recording of issues
  • Coordinating with other PMO teams to ensure that processes and reporting standards are being consistently applied at a regional and global level
  • Perform ad-hoc analysis of the business and satisfy ad-hoc information requests from various parties
39

VP-data Resume Examples & Samples

  • Facilitate driving global strategies with the India team
  • Understand the data strategy and drive the data adoption strategy
  • Understand the application road map and associated impact
  • 12yr+ in project Management
  • Experience of working in financial services, in a front-office environment
  • Very pro-active, delivery focus, strong experience in Agile
  • Excellent analytical, problem solving, and troubleshooting skills
  • Deep understanding of cross asset classes markets and institutional investment process
  • CFA, MBA, and/or Financial Engineering degree is a major plus
40

VP Data & Platforms Solutions Resume Examples & Samples

  • Be an in-house expert on how Data and Platforms can provide ROI for clients
  • Act as account leadership
  • Partner with teams to support DSP, and Data/Analytics partnerships
  • Share knowledge with teams regarding audience insights and results to impact business needs
  • Build and maintain relationships with audience data partners and internal agency counterparts
  • Managing the process of defining audiences to be leveraged, sharing of data with partners, and tracking and compiling performance reports regarding audience groups
  • Maintaining knowledge of current DMP/Programmatic media trends and provide training to Moxie employees and clients when necessary
  • Offer New Business strategic development and thought-leadership
  • Accurate and timely reporting of billable and non-billable time
  • Other responsibilities, as assigned
  • 10+ years in digital media or account planning, with special emphasis on planning and creating insights related to consumer segments
  • 5+ years of people managing experience
  • Understanding of campaign management/ad serving technology (i.e. Double Click DART, Atlas)
  • Strong leadership, guiding cross functional staff
  • Able to present complex contently simply to C-Level clients or industry events
  • Experience managing multiple, competing priorities, duties and/or projects
  • Excellent interpersonal, verbal, written communication, and presentation skills
41

VP Global Data Management Resume Examples & Samples

  • Bachelor or Masters Degree in Business Administration, Computer Science, Information Management or related field
  • Has successfully designed, implemented, and lead an enterprise wide data management organization
  • 5+ years of progressive leadership experience leading cross functional teams and enterprise wide programs
  • Experience in strategic technology planning and execution and policy development and maintenance
  • 10+ years of data management and data architecture preferred
  • 10+ years of reporting/analytics experience preferred