Data Manager Senior Resume Samples

4.8 (96 votes) for Data Manager Senior Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the data manager senior job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Resume Builder
CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.
USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.
SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Create a Resume in Minutes
LW
L Walter
Linnea
Walter
2270 Emmett Road
Chicago
IL
+1 (555) 141 8563
2270 Emmett Road
Chicago
IL
Phone
p +1 (555) 141 8563
Experience Experience
Detroit, MI
Senior Manager, Market Data
Detroit, MI
Bins, Breitenberg and Pfeffer
Detroit, MI
Senior Manager, Market Data
  • Lead the market data oversight, quality controls, governance and analysis within Market & Trading Credit Risk
  • Implement and continually enhance market data monitoring processes and analysis to ensure accuracy and validity of calculations within downstream applications
  • Proactive and functional lead in the overall long term design of the MDSS/MASS platform
  • Proactively develop and maintain a clear and comprehensive risk factor inventory including data sources, transformations, gaps and proxies for MDSS/MASS data used in internal capital models in compliance with the Risk Data standards
  • Chair Market Data Governance Committee
  • Key point lead in initial testing and approval of MDSS/MASS platform changes gating to final user testing
  • Expert knowledge point and key stakeholder for ‘where and how’ market data is used in RBC applications
Detroit, MI
Senior Manager, EBI Data Stewardship
Detroit, MI
Corkery-Mayer
Detroit, MI
Senior Manager, EBI Data Stewardship
  • Assist the Director on the data roadmap and ensure data development timelines are met
  • Partner with HQ systems engineering NETO and business units to process data in stage, journal, base and semantic within Teradata and Hadoop/Horton Works
  • Work with Director in estimating level of effort and timelines
  • Partner with data quality and project management teams throughout the project lifecycle
  • Assist in User Acceptance Testing for stated data dependent projects
  • Develop the business rules and logic in order to harmonize the data
  • Help test prototypes and oversee handover to operational teams
present
Philadelphia, PA
Senior Manager Processes, Standards & Data
Philadelphia, PA
Vandervort-West
present
Philadelphia, PA
Senior Manager Processes, Standards & Data
present
  • Develop and manage the definition of key processes, standards, data-landscape and policies
  • Oversee management of IWMS tool; Global Workplaces IT landscape
  • Oversee governance and controlling of standards and process compliance in all adidas facilities; develop and push strategies to ensure permanent compliance
  • Strong analytical and continuous improvement mindset
  • Set up/ define/ improve/ innovate business processes/policies with a wide range in geographic and content scope and complexity
  • Define and assess alternative solutions , propose recommendations and ensure cross-functional buy-in
  • Ensure consistency and standardization of data across all facilities and departments
Education Education
Bachelor’s Degree in Ownership
Bachelor’s Degree in Ownership
Georgia Southern University
Bachelor’s Degree in Ownership
Skills Skills
  • Ability to learn quickly about a new business process
  • Ability to multi-task & appropriately prioritize tasks
  • Ability to learn new best practices and technologies and incorporate with organizational strategy
  • Strong experience in ETL Ab nitio and how it relates to Big Data
  • Experience Data Profiling
  • Ability to embrace change
  • Software Quality Testing
  • Strong user of Microsoft Office suite of products - Word, Excel, PowerPoint, Project, Visio, Outlook (5+ years)
  • A strong background with databases (i.e. Oracle, MS Access)
  • Excellent written and verbal communication skills
Create a Resume in Minutes

15 Data Manager Senior resume templates

1

Senior Manager, Market Data Resume Examples & Samples

  • Lead the market data oversight, quality controls, governance and analysis within Market & Trading Credit Risk
  • Implement and continually enhance market data monitoring processes and analysis to ensure accuracy and validity of calculations within downstream applications
  • Primary functional interface between MDSS/MASS stakeholders and Risk IT in terms of understanding the broader initiative and translating detailed requirements
  • Proactive and functional lead in the overall long term design of the MDSS/MASS platform
  • Functional lead and owner of final requirement documentation, ensuring the complete/accurate capture and translation of business requirements related to MDSS/MASS initiatives to support Risk IT implementation analysis
  • Proactively develop and maintain a clear and comprehensive risk factor inventory including data sources, transformations, gaps and proxies for MDSS/MASS data used in internal capital models in compliance with the Risk Data standards
  • Chair Market Data Governance Committee
  • Key point lead in initial testing and approval of MDSS/MASS platform changes gating to final user testing
  • Expert knowledge point and key stakeholder for ‘where and how’ market data is used in RBC applications
  • Coordinate impact analysis across business functions relating to market data changes (e.g. new data series, proxy methodology, shock derivation)
  • Primary MDSS/MASS enhancement ticket reviewer following stakeholder initiation, ensuring the issue statements and business cases include sufficient detail, clarity, integrity and completeness
  • Manage MDSS/MASS data quality control documentation and processes consistent with the proposed Risk Data standards
  • Manage a team of analysts to support market data oversight, MDSS/MASS development, issues and enhancements related to market and scenario data
  • Own all relevant internal and external market data vendor relationships relevant to MDSS/MASS in terms of issue resolution
  • Proactively support and promote the standard enhancement prioritization process protocol related to the MDSS/MASS platform
  • 5+ years experience supporting risk management systems
  • 3+ years experience managing a Business Analyst team -- HR responsibilities, training, team development strategy, project planning and work assignments, etc
  • Masters degree in business or finance (MBA, MMF, etc)
  • Good communication and organization skills
  • Able to work under pressure and interact with several groups simultaneously to investigate issues and resolve problems
2

Senior Manager Enterprise Data Lake Resume Examples & Samples

  • On-going delivery of data structures and accessory tools in partnership with Data Engineers
  • Managing operational support of Hadoop technology, including providing second-level support to internal teams
  • Leadership by organizing the EDL delivery team effectively
  • Mastery of Hadoop technologies and operating procedures
  • Experience in data modelling, data science, or risk modelling
  • Familiarity with financial terminology and concepts
3

Senior Manager, EBI Data Stewardship Resume Examples & Samples

  • Lead the data ingestion efforts through data normalization and then transformed logic with applied business rules
  • Assist the Director on the data roadmap and ensure data development timelines are met
  • Work with business units to document the requirements for expected deliverable
  • Work with Director in estimating level of effort and timelines
  • Need to maintain detailed documentation through data lifecycle processing to ensure fully transparent communication and meeting deadline expectations
  • Develop the business rules and logic in order to harmonize the data
  • Partner with HQ systems engineering NETO and business units to process data in stage, journal, base and semantic within Teradata and Hadoop/Horton Works
  • Partner with data quality and project management teams throughout the project lifecycle
  • Support standardization efforts for referential data used for data analysis and project output
  • Work with Data science team and identify and ingest the data sets required for modeling and analysis in hadoop platform
  • Hadoop / Horton Works required
  • Good knowledge in back-end programming, specifically java, JS, Node.js and OOAD Plus
  • Minimum of 5-7 years relevant work experience
  • Ability to analyze data and work independently
  • Good organizational and interpersonal skills with the ability to work with various functional areas, including field, Region, Division and Corporate personnel
4

Senior Manager, Business Data & Intelligence Resume Examples & Samples

  • Experience with managing teams and projects. Proven project management skills required. Excellent people management and people development skills required
  • Build and execute daily, weekly, monthly and ad-hoc reports. Ensure reports meet business needs
  • Provide in-depth analysis of operational data to perform root cause analysis, improve efficiency, productivity and customer satisfaction. Surfaces recurring problems with work processes, policies, or procedures. Suggests ways to resolve problems to serve customers better and/or to improve productivity
  • Represent Comcast in a professional and positive manner in all situations
5

Senior Manager, Digital Data Stewardship Resume Examples & Samples

  • Serve as Digital Data champion, driving awareness, understanding, and adoption of the DDM throughout the Enterprise Business Intelligence group and beyond, including Division and Regional offices
  • Identifies fact-based solution strategies for key business issues raised by clients to ensure that all important issues are addressed in fully and appropriately
  • Determines when and how to use quantitative research tools and models and assists in interpretation and development of implications to address client business problems
  • Develops and communicates goals, strategies, tactics, project plans, timelines, and key performance metrics to reach goals
  • Creates and manages supporting and related business intelligence processes
  • Develops and manages budget to ensure required resources are available
  • Defines the information, reporting, and analytical needs of the company. Develops goals, strategies, and plans needed to achieve the vision
  • Ensures business intelligence programs progress, status reviews, and corrective actions
  • Minimum of 8 years' experience in Digital Data / Web Analytics space
  • Experience with web tracking technical design and implementation. Experience developing customized digital data marts and cubes a plus
  • SQL required
  • Teradata a plus
6

Senior Programmatic & Data Partnerships Manager Resume Examples & Samples

  • Drive programmatic advertising deals through direct relationships with ad sales, ad exchanges, demand-side platforms (DSPs) and agency trading desks
  • Evaluate prospective programmatic demand source vendors, select partners and project manage their implementation with the technology team
  • Create and execute the operational vision for programmatic execution including organization, process and procedures
  • Analyze programmatic ad performance ensuring that campaigns are effectively maintained to guarantee optimal delivery
  • Attend client & agency meetings to speak to the NYT programmatic offerings
  • Strong understanding of the industry, trends and new technologies
  • Build and grow the Programmatic Sales Operations team as needed
  • BA or BS from an accredited 4 year university
  • Minimum 6+ years experience in digital advertising or media and 1+ years working with DMPs, ad exchanges, DSPs and supply-side platforms (SSPs)
  • A proven track record of driving programmatic revenue, utilizing agency and client relationships
  • The ability to successfully manage a team of 1 (or more) direct reports
  • Prior experience in a digital ad operations or sales support team and familiarity with an enterprise interactive ad serving system (DoubleClick, etc.) is preferred
  • Familiarity with the general online ad landscape including survey, data collection, verification, viewability, real-time bidding, behavioral targeting, retargeting and cookie matching
  • Ability to work in a fast paced environment with extreme attention to detail while maintaining a sense of humor
  • A proven ability to do both tactical work and set an overall strategy when working on a project
  • Must be analytical, organized and produce high-quality work
  • Excellent communication and project management skills and the ability to work strategically with internal and external clients
7

Senior Manager, Smart Data Resume Examples & Samples

  • Leadership role in developing big data analytic practices and products. The role encompasses strategic guidance, project management and the development of new capabilities to enable better use of data, technology and tools
  • Project management lead working with advertising clients and agencies to create innovative and customized smart data solutions. Act as a strategic link-person between smart data analytics and business insights & applications
  • Work with IT and other Bell divisions’ experts to leverage data resources and develop smart data products that address sales and programming challenges such as: cross-channel attribution (marketing mix modeling), cross-platform audience measurement, TV-PVR-VOD viewership evaluation, audience response to advertising, Out-of-home/mobility patterns & geo-location analytics, etc
  • Build an analytical framework to deepen the understanding of the consumer’s media behavior. Lead predictive modeling and analytics projects from inception & collection of data (internal and syndicated sources) through post-implementation monitoring
  • Own, build and continually improve relationships with internal and external clients. Convincingly communicate with them to explain the benefits, limits and requirements of proposed smart data products / solutions. Build compelling customized presentations to various stakeholders
  • Establish credibility and trust with senior internal clients and partners to become a key advisor and deliver value beyond the scope of requests
  • Research and evaluate internal data (Fibe TV, internet, mobility) and external data sources (e.g. Numeris, comScore, Vividata) to increase value of related predictive modeling and analytics
  • Operationalize analytic practices to bring near-real time insights to marketing and programming decisions in a scalable way
  • Bachelor’s degree in Statistics, Business, Marketing or related area required. Advanced degree strongly preferred
  • 7+ years experience in related field; strong business acumen
  • Advanced quantitative knowledge (SQL, SAS, data mining) and experience in marketing mix modelling (cross-channel attribution models, econometrics)
  • Experience in media / advertising analytics and strong understanding of targeting and segmentation
  • Excellent analytic and problem solving skills with proven ability to deliver actionable insights that drive increased revenue and return on investment
  • Advanced skills using spreadsheet and presentation tools
  • Strong relationship management skills; ability to collaborate with people at all levels throughout the organization
  • Strong communication skills, both written and verbal; ability to effectively communicate technical concepts to non-technical audiences
  • Performs well in an environment with competing priorities and multiple projects
8

Senior Manager of Credit Risk Data Resume Examples & Samples

  • Strong technical skills and problem solving ability with proficiency in SQL/SAS, Excel or other analytical tools / programming languages such as R, Pig, Hive, Python will be preferred
  • Exhibited direct / indirect people leadership on one or more projects
  • Must possess good verbal and written communication skills
  • Ability to work in a team environment and to collaborate with other internal staff and external vendor / partners
9

IT Senior Manager Ingest & Data Virtualization Resume Examples & Samples

  • Build world class high-volume real-time data ingestion frameworks and automate ingesting various data sources into Hadoop
  • Manage data virtualization projects from POC to full realizations solving unmet needs from our business
  • Creates and maintains strong partnerships with business, BTL, other PLO and development teams, built on trust and transparency
  • Capture & manage business requirements via the good use of elicitation techniques. Using the gathered information, document & review the new features (User Stories including acceptance criteria) to allow detailed planning
  • Provide senior level technical direction to application development teams working on complex or data intensive projects
  • Collaborate with the solution architect and the build team in the design for each new analytics capability ensuring the architecture aligns with IT strategic goals and target state architecture
  • Work with the R&D Data management content and context team to make sure all relevant R&D data is captured & made available
  • Work with the R&D Domain Analytics team to make sure the data visualization requirements can be met
  • Follow a customer centric approach and ensure the solutions developed meet the customer requirements
  • Working knowledge of Pharma Research & Development processes and technologies is an advantage
  • Understanding of Agile. Experience working within an Agile team is an asset
  • Working knowledge of SDLC including requirements elicitation, system design, development and validation/regulatory requirements
  • Proven track record managing technology projects
  • Experience with the various tools & frameworks of the Hadoop ecosystem
  • Experience with data virtualization technologies
  • Excellent communication and analytical skills to support scientific research and operations
  • Solid foundation in computer science and (preferably) biology
  • Demonstrated expert understanding and experience with creating data representations & analytical solutions for modern biological data formats
  • MS or equivalent degree in bioinformatics, computer science or a closely related field such as mathematics or physics
  • Project experience in a comparable industrial environment is an asset
  • Proven analytical capability
  • Knowledge of optimization techniques
  • Strong knowledge of object-oriented modeling
  • Knowledge of business - Applying
  • Tech Based innovation - Leading
  • Business & data analytics - Leading
  • Interpersonal Understanding - Applying
  • Influencing and Impacting Others - Leading
  • Organizational and Cultural Understanding - Leading
  • Managing Change in IT - Leading
  • System and Technology Integration - Leading
  • Staying Current with IT Industry Trends - Leading
  • Managing IT Like a Business - Applying
  • Business Assessment - Leading
10

Data Intelligence Products Senior Manager Resume Examples & Samples

  • You will be an established Business Intelligence or product leader, with significant experience in building data/business intelligence products
  • You will be able to effectively manage multiple, competing priorities whilst focusing on core strategic alignment. Working alongside the BI Transformation team, who are responsible for ensuring the wider organisation continues to improve its capabilities through your products, you will have great stakeholder management skills, and be able to effectively influence senior leaders across the business
  • You are a great people manager and need to show your ability to develop and lead a high-performing team to success
  • You will have a great commercial awareness, understand and can articulate the importance that data has on achieving business strategies, so you will be just as comfortable talking to a finance stakeholder about the shape of a P&L and where you can influence revenue levers, as you are talking to a developer about the value of implementing Spark
  • You will have significant experience of working in an agile development environment, and managing in a matrix environment where success can be won or lost through your ability to tailor your communication to the audience. You will find the optimal solution for the situation, leveraging Expedia-wide resources, and partnering with the global teams to ensure an approach that suits the wider business as well as specifically EAN’s needs
  • What you’ll get is the opportunity to make a fundamental difference to how EAN does business on data. You’ll be at the core of the strategy to scale EAN through intelligent use and optimisation of our Business Intelligence assets and capabilities
  • You’ll be given the guidance to further grow and develop, while working alongside some great minds, and with best-in-class tech like Amazon Web Services, Teradata, Hadoop and Tableau. You’ll also get exposure to some cutting edge technologies and techniques like Spark, Data Science and Machine Learning
11

Data Manager Senior Resume Examples & Samples

  • Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions, and ability to leverage that information in creating customized customer solutions
  • Knowledge of and the ability to utilize a variety of administrative skill sets and technical knowledge to manage organizational IT policies, standards, and procedures
  • Knowledge of an organization's existing and planned Information Architecture and Information Management (IM) methodology; ability to collect and manage information from different sources, and distribute this information to enhance operational efficiency
  • Knowledge of and ability to use a structured approach to identify the cause of undesirable consequences in a manufacturing environment and the changes needed to prevent a recurrence
12

Senior Manager Static Data Resume Examples & Samples

  • DAY TO DAY DATA MANAGEMENT
  • Manages the day to day data requirements of the various GBM business lines on the processing and / or maintenance of static data for security master in core processing systems ( i.e. Gloss , Impact ) and for counter party profiles and preferences on payments, confirmations and settlement instructions as well as the opening of client accounts in source systems ( i.e. Broadridge, Anvil, Trade Manager, Prime 1, Wall Street, Murex etc. ) as required at onboarding or for trade processing for various sub-accounts
  • Manage the ongoing maintenance of data in order to ensure that changes are processed as client profiles or preferences change, core documents expire or new products and / or jurisdictions are added to a client account / relationship
  • Ensure data required for regulatory reporting (i.e. Volker, Dodd Frank, EMIR, FATCA etc. ) is current and accurate within the systems supported
  • CHANGE MANAGEMENT
  • Identifies and evaluates various automation and technology solutions that improve productivity, cost, quality, capacity & scale, standardization and cycle time of data flows and processes; works collaboratively with IT to design and build the necessary technology platforms and/or tools
  • Conducts post implementation reviews to evaluate benefits and ROI
  • Chairs and/or actively participates in appropriate governance structures to ensure effective prioritization of operational enhancements and future investment
  • COST MANAGEMENT
  • Oversight and Management on direct and indirect budget operational cost allocations to the supported GBM businesses
  • Manage costs by reviewing continuous improvement initiatives and operations cost reduction strategies, technology rationalization and resource optimization
  • LEADERSHIP
  • Builds and maintains an effective high performing and quality global team by providing hands-on leadership and on-going direction, subject matter advice and guidance
  • Optimizes performance, engagement, team-work and motivation through; effective organizational design, defining clear roles and responsibilities, setting challenging but realistic goals, performance expectations and timely feedback
13

Senior IT Data Manager Resume Examples & Samples

  • Lead technical team for data cleanup, conversion and migration of legacy CAS systems into a new Oracle R12.2.2 Federal Financial System
  • Act as performance manager (coach) for up to four coachees outside of engagement responsibilities
  • Interview campus and/or experienced candidates
  • Twelve years of data management experience
  • Minimum of 5 years of hands-on experience in direct supervision over data cleanup, conversion, and migration efforts transitioning data to a new system
  • Experience transitioning financial data preferred, specifically in an Oracle system
  • Oracle system certification is preferred
  • PLSQL experience
14

Senior Manager, Analysis & Data Modeling Resume Examples & Samples

  • Act as a financial expert in the development of ROI models using client specific data that demonstrate the financial benefit of proposed service solutions
  • Assist with business case / financial model development for prospective projects, new lines of business or new services offerings. May require working directly with strategic partners / clients to model financial implications of deal terms and assumptions
  • Serve as a billable resource on client engagements to develop and present investment case scenarios that support proposed investment solutions
  • Serve as a liaison between Sales Executives, Account Management, Customer Service Advocates, Solution Engineers to support client-specific analytical modeling
  • Support pre-sales activities with research & analysis on higher education institutional performance using public and proprietary datasets
  • Support sales prospect targeting analysis, pipeline reporting, tracking and forecasting by opportunity, line-of-business, and region
  • Assist in data maintenance and hygiene of higher education datasets
  • Develop best-in-class data visualizations supporting ROI models and institutional performance analysis
  • Bachelor’s degree in business required
  • Must have experience in working with higher education data
  • 4-6 years of professional experience in a business analyst, pricing analyst, or operations analyst role. Experience in a higher education institution or a professional services or strategic / business partnerships organization a plus
  • Proven skill and effectiveness in requirements gathering, definition, business planning, data analysis, process analysis, and business and functional requirements analysis
  • Strong oral and written communication skills with the ability to communicate to various levels of team members and management to clarify needs and evaluate alternative business solutions
  • Experience leading projects from ideation, planning, execution, and deployment
  • Ability to adapt to evolving business processes and operations
  • Proven experience building flexible, dynamic excel models
  • Mastery of advanced Excel functionality
  • Basic SQL knowledge. Advanced SQL/Postgresql/Sqlite preferred
  • Strong knowledge of financial data, financial terms and processes
  • Secondary source research and reporting (e.g. literature review, school profiling)
  • Database analysis and reporting (e.g. IPEDS, NSLDS, BLS)
  • Proven problem solving, analytical, decision making and critical thinking skills a must
  • Excellent communications, presentation and interpersonal skills
  • Team player able to build relationships and work across the organization
  • Must thrive in a fast-paced, results-oriented, collaborative environment
  • Ability to work independently and be self-motivated
  • Highly organized and able to working on multiple projects / initiatives at once
  • Washington/Maryland/Virginia area to work out of the Blackboard Headquarters in Washington DC is preferred
15

Senior Manager, Product Data Management Resume Examples & Samples

  • Develop a data governance framework including processes that describes who can take what actions, with what information, when, and under what circumstances, using what methods. Implement and drive adoption of the governance framework
  • Develop and establish standards for data that define Edwards’ Products. Ex. Objects such as Part/Item Master, Bills of Materials, 3D CAD Models, Manufacturing Routers, and attributes and properties that define such objects
  • Develop policies and procedures, and implement closed-loop processes to enforce data standards to improve data quality throughout the lifecycle of the data. Define processes for resolving non-compliance to standards
  • Stay current on best practices for Enterprise Master Data Management processes and systems, and recommend best practices for adoption
  • Be a key player in system implementations and migrations involving product data. Lead data cleansing, mapping and conversion efforts during IT systems initiatives
  • Share success stories throughout the organization
16

Senior Manager Processes, Standards & Data Resume Examples & Samples

  • Develop and manage the definition of key processes, standards, data-landscape and policies
  • Translate corporate strategy into execution and challenge upwards
  • Set and secure corporate as well as departmental targets
  • Oversee governance and controlling of standards and process compliance in all adidas facilities; develop and push strategies to ensure permanent compliance
  • Constantly revalue, challenge and improve processes and standards through active testing, with input from Workplace Concepts & Development projects, continuous improvement processes, as well as external benchmarking
  • Ensure and promote cross-functional collaboration and optimization
  • Define and assess alternative solutions , propose recommendations and ensure cross-functional buy-in
  • Collaborate with Group Corporate Real Estate on building standards & policies
  • Set up the organizational structures within the context of the overall enterprise
  • Establish core system and data repository for Workplace data regarding finance, real estate, HR and core FM (single source of truth) in close alignment with business partners
  • Ensure consistency and standardization of data across all facilities and departments
  • Set up/ define/ improve/ innovate business processes/policies with a wide range in geographic and content scope and complexity
  • Drive execution excellence and be responsible for decision making
  • Oversee management of IWMS tool; Global Workplaces IT landscape
  • Set and govern KPIs and maintain permanent reporting
  • Identify and foster best practice to develop sustainable group solutions balancing conflicting business partner needs
  • Be accountable for project portfolios and programs including the definition of methodology , approach and key portfolio/program deliverables
  • Identify opportunities with fact-based decision making to optimize processes, services, effectiveness and efficiency
  • 8-10 years’ experience, preferably working for global players in sporting goods industry, facilities management or project management
  • Ability to structure, coach, guide, manage, and develop complex teams
  • Ability to create vision and explain strategies
  • Proven track record for implementing complex, multi-cultural, cross functional projects
  • Excellent communication skills in order to negotiate with internal and/or external parties with possible divergent interests and with different business areas
  • Comprehensive business understanding of processes and structure as well as financial topics
  • High degree of stakeholder orientation and appropriate prioritization
  • Ability to manoeuver in consistently challenging environment
  • Ability to operate cross-functionally; integrator mindset
  • Excellent analytical skills in order to analyze complex issues and to improve processes and techniques
  • Ability to apply methodology and implement to deliver the intended business value
17

Senior Manager, Insights & Market Data Resume Examples & Samples

  • Accountabilities
  • Relish the opportunity to pick up new activities that fall broadly in the purpose of the role
  • Fix things that need fixing
  • Identify problems and find solutions
  • Minimum 5 years in market research
  • Client and agency side experience would be preferable
  • Retailer/account presentation experience
  • Bachelor's degree required
  • Qualitative research skills and experience
  • Quantitative research skills and experience
  • Brand tracking experience
  • Expert in Excel/ PowerPoint
  • Pivot table knowledge essential
  • Good experience in statistics
18

Senior Principal Data Manager Resume Examples & Samples

  • Design high quality CRFs in consultation with a cross functional team that accurately reflect the data collection requirements identified in the study protocol and that are consistent with internal standards
  • Define Edit Check specifications and work with Database Programmers to ensure accurate and timely programming
  • Develop Data Management Plan
  • Perform Database Finalization activities and deliver quality results within agreed upon project timelines
  • Lead/Author SOPs, Business Guidance and/or Departmental Standards
  • Identify and understands the need for standardization and takes initiative to help improve departmental efficiency
  • Anticipates the needs of customers and takes action to ensure preparedness
  • Train CRAs and/or site personnel in Remote Data Capture technology
  • Identify trends in data completion and work with CRAs and/or site personnel to help improve the quality of the data being collected
  • Provides mentoring/coaching of new hires and/or junior associates
  • Experience with MS Word, Excel and Powerpoint
  • Effective communication skills both verbal and written
  • Understands clinical research process and regulatory requirements
  • Able to acquire and apply new technical skills
  • Follows through on all tasks and ensures quality results
  • Multi-disciplinary knowledge across functional areas
  • Basic knowledge of SQL preferred to troubleshoot edit check programming and/or reports
  • Basic understanding of SAS concepts preferred
  • Undergraduate degree required (life sciences preferred) from accredited program
19

Senior Manager, Market Data Management Resume Examples & Samples

  • Develops and maintains strategic direction of Market Data. Works closely with business and technology partners to gain/maintain buy-in and support
  • Defines a roadmap through collaboration and communicates the strategy to drive buy-in
  • Drives business solutions to ensure they meet the business needs balanced with a pragmatic and integrated approach to the strategic direction of the Enterprise Data Management group and the firm
  • Understands and applies enterprise wide thinking to individual departmental requests for to ensure end-to-end process and data integration are achieved
  • Defines goals for market data management and reports on them regularly
  • Influences the prioritization of business unit technology projects in the market data space to ensure strategic business objectives are met and risk is managed
  • Ensures processes and deliverables are documented and all resources (EDM, Business and IT resources) understand their responsibilities in this process
  • Partners with Procurement and Chief Technology Office to assess how business and technologies can best streamline processes and/or add business value
  • Provides quick project turnarounds and flexibility by leveraging knowledge and industry best practices
  • Remains up to date on key business, industry and market trends
  • Develops budget,annual goals and objectives; holds organization accountable for attaining goals and objectives
  • Relationship Management
  • Strategic planning
  • Bachelor's degree in a related field. Will typically have at least 10 - 12 years’ experience in financial services including significant experience (7 – 9 years) in leading diverse operating groups
20

Senior Manager, IT Data Center Ops Resume Examples & Samples

  • Directs the efforts of others in the achievement of the strategic and operational objectives of the group
  • Identifies areas of possible automation and/or improvement to provide better customer service and enhance problem resolution techniques
  • Understands and manages problems utilizing defined problem and change management policies and procedures
  • Conducts periodic inspections of assigned data centers to insure production and data center logistic policies are being met
  • Plans, organizes, and coordinates ongoing data center installations and modifications to meet current and future timelines/demands
  • Responsible for capturing and providing metrics to leadership
  • Communicates provisions of data center policies to the corporation and facilitate customer understanding of processes and procedures
  • Plans and coordinates with facilities to ensure appropriate data center capacity/scalability
  • Overall responsibility for the data center operations activities; responsibility may also include other operations such as LAN Operations, Networks, and Total Systems Management and Customer Services related functions
  • Responsible for implementing programs that maximize the computer availability and efficiency; prepares regular computer operations performance reports for IT management
  • Oversees, manages and directs any or all US or International Data Centers while maintaining a global perspective
  • Responsible for developing work plans and providing direction to Data Center Managers or Tape Management teams
  • Dedicated to run, maintain and support the data center infrastructure and backup requirements that meet short and long term business goals Establishes priorities, unified standards, policies and procedures across all IT data centers
  • Responsible for managing an IT service(s) provider's budgeting, accounting and charging requirements
  • Responsible for meeting all Sarbanes-Oxley compliance requirements; ensures IT data center access security policies are adhered to
  • Reviews opportunities and proposals for continuous improvement with regards to any and all IT data centers; Plays a proactive role in developing and applying Best in Class approaches/practices to data center management
  • Manages Data Center infrastructure design and support, working with engineers to design a new data center and/or expand an existing one; interfaces with Facilities to ensure data center HVAC/electrical infrastructure provides appropriate support of data centers
  • Must be a US citizen
  • Able to pass a background check
  • Strong leadership Skills
  • Ability to lead, motivate and direct a workgroup
  • Ability to prioritize projects and deliverables
  • Ability to work effectively with senior management
  • ITIL v3
21

Manager / Senior Associate Data Management Resume Examples & Samples

  • Work with study personnel to create Data Management Plans, which ensure data can be collected and transferred to the Clinical Data Management System according to business standards
  • Provide study-specific setup
  • Support VMRD's Clinical Data Management System
  • Write SAS programs to load and transform data in support of statistical analysis and reporting requirements
  • Develop data validation checks using SAS and SQL programming
  • Communicate effectively with other departmental colleagues, line management, and customers
  • Degree in Information Management
  • Mathematics
  • Bioinformatics
  • A Scientific Discipline
  • Experience developing data validation checks
  • Broad understanding of Good Clinical Practices (GCP) and Good Laboratory Practices (GLP)
  • Advanced SAS programming knowledge
  • Experience loading Microsoft Excel Spreadsheet data into a SAS data set
  • Experience within Animal Health R&D in a clinical data management specialty
  • Self-directed - can work with little supervision on most tasks
  • Goal-oriented, strong desire to achieve and exceed expectations, consistently meets commitments
  • Excellent organization, prioritization, and time management skills
  • Can work effectively under pressure
  • Maintains a strategic outlook
  • Has desire and ability to anticipate and plan for future change
22

Big Data Enterprise Architecture Senior Manager SVP Resume Examples & Samples

  • Work closely with clients to offer CTO Data Services to the broader population
  • Configuration and Products Support of multiple applications
  • UAT & Products support for EAP 2.0 projects
  • Manage configuration & products services teams
  • Leads and works within the delivery team to ensure performance and quality standards are met in accordance with Key Performance Indicators
  • Assist in the testing and quality check process to application data
  • Assist in ensuring data management policies and production data compliance policies are adhered to; may provide technical solutions on application problems
  • Make decisions/recommend solutions that can impact overall outcome of job assignments
  • Co-ordinate and Support client testing as requested by other technology groups
  • Specific daily responsibilities will include: Managing all client requests,
  • Provide configuration in UAT and Production for all EAP 2.0 projects
  • Take handover from SIT team
  • End to End understanding of Business Processes, Schedules & SLA
  • Monitoring, Issue resolution, UAT and Production support for Business processes
  • Guidance – Identify and develop best practices and standard tools to be used across different teams
  • Support Services - Establish a modern way of providing operations support
  • Measurement – Track and monitor the performance and growth of the organization
  • Business Office – Facilitate recruitment, getting new work and ensuring that the organization is complying with the requirements
  • Continuous Service Improvement – Drives innovation and process improvements for the organization
  • Governance – Manage all functions to ensure that they are meeting the objectives and goals
  • 12 plus years of overall experience is required for this role
  • 5+ years’ experience in leading a project or an operations team
  • 4 + years’ experience in Big Data Technologies (Hive, Spark, Pig,)
  • Strong experience in ETL Ab nitio and how it relates to Big Data
  • UAT – playbooks and service delivery experience
  • Experience Data Profiling
  • Experience on a Global Team
  • Technical/Programming skills on Unix Shell Scripting is required and VBA and Macro will be an strong advantage
  • Strong user of Microsoft Office suite of products - Word, Excel, PowerPoint, Project, Visio, Outlook (5+ years)
  • A strong background with databases (i.e. Oracle, MS Access)
  • ITIL Certification is a huge plus; however, the skill set is required
  • Expertise with Agile
  • Other relevant technology certifications will be a plus (i.e. Oracle Certification, MS SQL Server Certification)
  • Experience with End to End understanding of Business Processes, Schedules & SLAs
  • Experience with Monitoring, Issue Resolution, UAT, and Production Support for Business Processes
  • Proven leadership experience in managing people
  • Coaches and mentors team members
  • Provides proper direction, support, affirmation and recognition to members or teams as necessary
  • Effectively delegates tasks to team members
  • Ability to lead, develop people and drive strategy of the organization
  • Strong critical thinking skills
  • Detail oriented and analytical
  • Effective time management, documentation and organizational skills
  • Ability to multi-task & appropriately prioritize tasks
  • Ability to learn quickly about a new business process
  • Logical minded person who can understand complex issues & think about them with precision
  • Effective Presentation Skills
  • Ability to learn new best practices and technologies and incorporate with organizational strategy
23

Senior Study Data Manager Resume Examples & Samples

  • Leads the CDM study team and maintains oversight of all build, conduct and close activities for multiple or complex studies, ensuring fit for purpose quality Implements study conventions, processes, knowledge sharing and best practices on multiple or complex studies
  • Effectively communicates study goals and status of work, including all requirements to CDM study team and stakeholders. Leads proactive sharing of knowledge using relevant forums and communication tools
  • Manages CDM deliverables, including timelines, risks and coordination of cross functional tasks on multiple or complex studies Proactively develops solutions to complex problems Proactively reviews risk and develops contingency plans at the study level
  • Identifies gaps in Study Data Manager (SDM) knowledge and provides coaching and mentoring on sub functional activities to SDMs and/or raises gaps to Program Data Leader (PDL) and CDM Management
  • Provides timely feedback to individuals and to CDM Management, and seeks ongoing feedback for personal development
  • Develops, maintains and enhances working relationships and networks within and outside of CDM
  • Contributes or leads sub functional or cross functional working groups and initiatives
  • Adapts to and champions change, e.g. new tools, processes and technology
  • Maintains and optimizes outsourcing relationships and oversight with partners and inputs to CRO selection participation & review of work orders & scope of work (SOW) Provides vendor performance oversight on an ongoing basis
24

Data Analytic Manager, Senior Resume Examples & Samples

  • 3+ years of experience with intelligence analysis or specialized all-source intelligence analysis training
  • 2+ years of experience with analyzing Middle Eastern or African military affairs, international relations, national security, national leadership, domestic politics, foreign policy, defense economics, or other equivalent national security field
  • Experience with US government all-source analysis production
  • Knowledge of the intelligence community and the integration of a DoD client’s market
  • BA or BS degree or 4 years of experience with specialized military intelligence training
  • Experience in one or more languages, including Python or Java and Linux scripting
  • Experience with analyzing workflows, methodologies, and analytic results using structured and unstructured intelligence community data sets and designing and developing automated analytic software, techniques, and algorithms
  • Knowledge of machine learning tools and techniques and unstructured data techniques
  • TS/SCI clearance with a polygraph preferred
  • MS degree in Mathematics, including a focus on Linear Algebra, Calculus, and Probability focus, Statistics, including a focus on hypothesis testing and summary statistics, or CS