Enterprise Data Management Resume Samples

4.8 (83 votes) for Enterprise Data Management Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the enterprise data management 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
CB
C Borer
Carissa
Borer
99861 O'Conner Drive
Phoenix
AZ
+1 (555) 669 9176
99861 O'Conner Drive
Phoenix
AZ
Phone
p +1 (555) 669 9176
Experience Experience
Detroit, MI
Enterprise Data Management
Detroit, MI
Kilback Inc
Detroit, MI
Enterprise Data Management
  • Partner with CDI team to identify opportunities to populate Enterprise Data Dictionary
  • Drive use of Dictionary in support of EDM's data standards of care (i.e. Defined, Measured, Managed and Optimized)
  • Work with IT/vendor to implement Concept level lineage tools
  • Work with IT to implement SLA capture and monitoring tools
  • Foundational Tooling: Work in close partnership with IT to design, develop and implement technologies which support the broader objectives of the Foundational Elements team
  • Responsible for vendor relationship management and configuration of meta data tools
  • Responsible for vendor relationship management and configuration of data profiling and data quality testing tools
New York, NY
Manager, Enterprise Data Management
New York, NY
Hyatt LLC
New York, NY
Manager, Enterprise Data Management
  • Identifies and coordinates the sharing of best practices
  • Support effective communication and training for EDM process, tools, and measurements
  • Execute a holistic, multi-pronged approach to embedding EDM, MDM and DG principles and practices across the enterprise
  • Serve as a key liaison within IT and other departments
  • Responsible for Enterprise Data Management “Program Manager” duties; Working with senior leadership in setting strategic priorities, setting milestones, reviewing progress, and reporting status
  • Applies EDM and DG principles to create an efficient and effective data management environment that serves multiple business units in their pursuit of a data-driven organization
  • Establish a formal EDM, MDM and DG program that creates effective engagement between EDM, business operations, delivery teams, and IT
present
Chicago, IL
VP of Enterprise Data Management
Chicago, IL
Jaskolski, Rohan and Schultz
present
Chicago, IL
VP of Enterprise Data Management
present
  • Proven track record of leading development teams and providing technical direction and leadership on successful projects
  • Knowledge of object oriented approaches and working within an MVC framework
  • Handle interviewing, hiring, promotions, transfers, performance appraisals, compensation, counseling and termination of staff
  • Perform other duties as assigned
  • Direct and lead staff; guide and coach staff in completion of day-to-day responsibilities and ensure that established policies and procedures are followed
  • Trust -Keeping the promises you make to others, and to yourself
  • Proven track record of building strong team relationships; history of successful delivery and working with the third party vendors
Education Education
Bachelor’s Degree in Finance
Bachelor’s Degree in Finance
Towson University
Bachelor’s Degree in Finance
Skills Skills
  • Working understanding of MDM, data quality, data lineage, metadata and experience with data modeling, data dictionary and data analysis
  • Demonstrated Data Quality procedural and analysis skills
  • Solid understanding of the enterprise-wide data flows including customer data flows
  • Strong process and project management skills, auditing and analytical skills; ability to direct the activities of the appropriate staff of the MDM team
  • Ability to direct and influence the activities of cross-functional teams for the purpose of building data dictionary
  • Excellent communication and presentation skills and ability to interact appropriately with all levels of the organization, including: senior management, business users, technical staff, vendors, and partners
  • Strong knowledge of Microsoft Office suite, including Excel, Word, PowerPoint, Visio and Project
  • Hands on experience with Microsoft SharePoint configuration, security and administration
  • Working knowledge of ServiceNow or related ITIL tools and concepts
  • Hands on experience with SQL, Oracle PL/SQL
Create a Resume in Minutes

15 Enterprise Data Management resume templates

1

Enterprise Data Management Resume Examples & Samples

  • Significant levels of relevant risk, finance, IT, or data management experience
  • Strong business financial acumen, especially in Financial Services Industry
  • Working knowledge of MS office tools, and data mining tools (Access, SQL, BO, SAS, etc.)
  • Must submit your application for employment through COS (internal candidates) or www.gecareers.com (external candidates) to be considered for this job opening
  • Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening
  • Must be willing to travel approximately 10% of the time
  • Significant experience with data model concepts as well as business processes and creating architectures for enterprise data management
  • Experience with data warehouses and business rule definition
  • Experience creating detailed business and technical requirements documents
  • Strong leadership & influencing skills
  • Demonstrated verbal and written communication skills with the ability to work at senior levels or the organization and work cross functionally
  • Undergraduate degree in Finance, Risk or Data related field
  • GE leadership program graduate (FMP, ITLP, OMLP, RMP); CAS a plus
2

Enterprise Data Management Resume Examples & Samples

  • Partner closely with EDM senior management and Finance to monitor and control the monthly and quarterly financial planning and reporting processes for EDM
  • Ensure that EDM is closely aligned with Finance objectives and deadlines
  • Identify opportunities to analyze spend and create efficiencies
  • Create and maintain comprehensive resource management processes and reporting mechanisms
  • Manage vendor contracts and identify efficiencies
  • Minimum 5 years of finance experience
  • Financial modeling skills
  • Experience managing projects
  • Demonstrated oral and written communication skills and ability to work cross functionally
  • Proficient use of financial systems and analysis tools including Microsoft Office (eg. Excel, Word, PowerPoint)
  • Bachelor’s Degree in Finance or Accounting
  • Financial Management Program (FMP) grad or Corporate Audit Staff (CAS) grad
  • Demonstrated ability to manage multiple priorities
  • Ability to analyze complex issues, develop appropriate action plans and delivers the results timely
  • Ability to lead projects and assignments
3

Enterprise Data Management Resume Examples & Samples

  • Creating and managing specific data projects in accordance to the GE project management standards that are leveraging the Enterprise Data Management framework
  • Support the Programme Operating Model team to develop the Operating Model for Enterprise data for the post implementation phase and business as usual operations
  • Work with the IT and functional teams to understand and set data acquisition process and documenting it in accordance with the standard
  • Support the EDM data quality team with managing data quality projects
  • Lead the stakeholder management activities and work with key stakeholders, platforms, and senior leadership on data consistency issues, findings, and initiatives
  • Establish and chair effective data management routines and process optimization
  • Advise the Enterprise Data Leader on Project Management best practices for 'data projects'
  • Support to constitute Data Governance and Quality signing authority on relevant committees
  • Contribute with specific GEC International requirements to the drafting of enterprise metadata and data quality plan, partnering then with IT and infrastructure teams to implement and fine tune the selected tools
  • Proven experience in data management related functions or equivalent
  • Proven track of record of data quality framework implementations in a diverse and highly matrix environment
  • Knowledge of data quality / data management tools
  • Outstanding analytical skills
  • All round Financial Service business knowledge
  • Good knowledge of IT systems architecture and Data Modelling
  • Bachelor of Engineering or other advanced degree
  • Project Management or other relevant certification
  • PMO experience
  • Familiarity with GE Capital, treasury and risk operations and regulatory matters
4

Manager Enterprise Data Management Processes & Tools Resume Examples & Samples

  • Reports to the VP, Enterprise Data Management
  • Drives the implementation of Enterprise Data Management (EDM) & Data Quality (DQ) tool and technology solutions in support of the Enterprise Data Strategy across the Bank, including, where appropriate: advancement of adoption, requirements definition, tool evaluation and selection
  • Manages the OCDO relationship and liaise with the Enterprise Enabling Technology Solutions team
  • Ensures strategic data capabilities meet rising regulatory expectations (e.g. BCBS 239, Dodd Frank, etc.)
  • Supports key enterprise programs of strategic or regulatory importance from a data management processes and tools perspective
  • Coordinates and leads the Data Management subject matter expert (SME) teams in defining, developing, publishing and evolving Enterprise Data Management Strategies, Operating Models, Processes, and Procedures for DQ, Metadata and Business Glossary, Master / Reference / Market Data, Data Model Management, etc
  • Develops strong working relationships within the OCDO, Technology, and other stakeholders to work collaboratively to promote adoption of data management tools throughout the enterprise
  • Provides leadership and direction in data management processes and tools improvement initiatives
  • Must keep up-to-date with the leading Data Management and Data Quality practices in the industry
5

Analyst Enterprise Data Management Resume Examples & Samples

  • Supports all Enterprise Metadata and Business Glossary initiatives at TD
  • Supports the OCDO in the creation and implementation of strategies related to Metadata and Business Glossary documented as concepts, policy, standards and processes
  • Works closely with the Lead Data Sponsors ensuring that all data operations in each Business Segment and Corporate Function are aligned with the EDM standards
  • Cross business influence and oversight of the Metadata and Business Glossary rollout
  • Provides support and guidance on Metadata and Business Glossary and related data capabilities to Business Segments and peers
  • Supports the creation of a Metadata and Business Glossary value proposition for the Bank
  • Supports the maintenance, development and refinement of the Metadata and Business Glossary documentation to ensure ongoing relevance with communication of changes to impacted businesses
  • Supports the EDM team’s capability to provide effective guidance on best practices and process for framework implementation and measurement of ongoing compliance
  • Supports the EDM team’s ability to develop, own & deliver effective education & communication tools & materials
  • Informs other team members and keeps them up to date on progress of projects and relevant or useful information related to day to day activities
  • Supports senior executive & management’s requests for reporting based on analysis of data and various business assessments
  • Monitors emerging trends, tools, and methodologies specific to Metadata and Business Glossary related data capabilities and regulatory views
6

Senior Analyst Enterprise Data Management Resume Examples & Samples

  • Supports all EDM Data Asset (e.g. Conceptual Data Model, MDM/RDM, Data Mapping, etc.) related initiatives at TD
  • Supports the OCDO in the creation and implementation of strategies related to enterprise data model, data definitions and business rules and terms documented as concepts, policy, standards and processes
  • Works closely with the Lead Data Sponsors ensuring that all data operations in each Business Segment and Corporate Function are aligned with EDM standards
  • Communicates with peers and management in related OCDO departments as needed
  • Cross business influence and oversight of the EDM rollout
  • Provides support and guidance in the identification of Systems of Record (SoRs) and mediation of disagreements between SoRs for Business Segments and peers
  • Supports the creation of the EDM value proposition for the Bank
  • Supports the maintenance, development and refinement of the EDM documentation to ensure ongoing relevance with communication of changes to impacted businesses
  • Contributes to staying in compliance with current regulation and to be positioned to stay ahead of future requirements
  • Contributes in the creation and maintenance of the EDM -related Policies and Standards, and corresponding support & guidance material
  • Monitors emerging trends, tools, and methodologies specific to EDM, related data capabilities and regulatory views
7

Manager, Enterprise Data Management Resume Examples & Samples

  • Contribute to TD's Enterprise Data Strategy - Develop and implement strategies and programs to improve and sustain the governance, management, protection and value of TD’s data assets
  • Serve as a SME to drive strategic data initiatives to achieve mission-critical advances in data management
  • Serve as a SME to ensure strategic data capabilities meet rising regulatory expectations (e.g. BCBS 239, Dodd Frank, etc.)
  • Serve as a SME to drive innovation for data management
  • Provide leadership, support and guidance for BS/CFs and key enterprise programs (in partnership with the OCDO-US and TS where applicable) in the execution of Enterprise Data Management Strategies, Toolkits, Operating Models, Processes and Procedures (Master/Reference/Market Data, Conceptual Data Model Management, etc.) coordinating efforts with the Data Governance and Communications Team
  • Define, develop, publish and evolve Enterprise Data Management Strategies, Toolkits, Operating Models, Processes and Procedures for Master/Reference/Market Data, Conceptual Data Model Management, etc
  • Serve as a SME to mature the Enterprise Data Strategy
  • Serve as a SME to develop and track quantifiable value proposition for Enterprise Data Management capabilities
  • Coordinate approaches and establish controls and processes for the creation and ongoing management of Reference Data and Master Data across the enterprise
  • Coordinate approaches to identify Systems of Record (SoRs) and help to mediate and resolve disagreements between SoRs
8

IT Manager, Enterprise Data Management Resume Examples & Samples

  • Contribute to data cleansing and data improvement initiatives. (5%)
  • Create data quality monitoring reports and alerts.(5%)
  • Establish key data management metrics. (5%)
  • Enable routine monitoring of data flows. (5%)
  • Design dashboards used to track and improve data quality. (15%)
  • Compile status and progress updates to present to the Enterprise Data Management Council. (5%)
  • Experience managing customer service processes, including ticket tracking and issue resolution
  • Fluency in data investigation, diagnostic methods and metrics
  • Understanding of Data Warehouses, including SAP BW, Netezza, and/or Teradata
9

Enterprise Data Management Tech Lead Resume Examples & Samples

  • Conceptualization, design, and implementation of the selected EDM solution
  • Advanced knowledge of application design principles, patterns and practices, systems development and analysis
  • Take a leadership role in providing technical directions and process improvements
  • Participate in the management of key vendor relationships
  • 7-10 years in a technical, software development position for a large enterprise with a high performing technical team
  • Demonstrated ability to present and articulate application designs to enterprise architecture, and other development groups and tech leads for review and input
  • Ability to mentor and provide guidance to other/junior team members
  • Demonstrated experience in usage of reference data
  • Understanding of Enterprise Data Governance principles
  • Evidence of thought leadership/differentiated architecture or solution design
  • Strong verbal and written communication skills with both technical and non-technical audiences
  • Experience with DevOps processes
  • Thorough understanding of the software development life cycle and ability to absorb and function within the LPL SDLC structure
  • Experience working within both Agile and Waterfall methodologies
  • Broad background of software engineering skills on a variety of technologies, including: MS SQL, Oracle, Informatica, Tibco, MS .Net, Angular JS, and TFS
10

Enterprise Data Management Domain Owner Resume Examples & Samples

  • Oversees and manages product(s) within an enterprise data domain(s)
  • Responsible for the success of a Master Data Management (MDM) product development, the critical component of a given data domain
  • Develops product visions by engaging with internal stakeholders, customers, and the broader community, then supervises the breakdown of those visions into an actionable backlog of user stories for engineering teams
  • Helps guide the strategy and vision for data product capabilities within the domain(s) and manages execution
  • Leads and executes day-to-day delivery of data software product capabilities
  • Serves as high level arbitrator on product scopes, requirements, and backlog priorities within the department and across supporting business units
  • Reviews products within the domain(s)
  • Works across the domain to prioritize, plan, and manage the delivery of software products that meets customer requirements in an agile-development approach and fast-paced environment
  • Collaborates with Waterfall, SCRUM & XP teams & products
  • 5+ years of relatable data experience; minimum of 3+ years of managing software product experience and managing programs
11

Enterprise Data Management Director Resume Examples & Samples

  • The Enterprise Data Management Director leads strategic data management programs on an enterprise scale (global and cross-functional) including the Master Data Management (MDM) Program and various other data management programs, such as Content Management
  • Works with Business and IT areas to collaborate on MDM functionalities. Assists with development of requirements and design specifications for new projects
  • Leads a team of data specialists (business analysts focused on data requirements) to utilize a consistent MDM implementation methodology across all master data domains
  • Coordinates a working steering team comprised of business leaders to set master data priorities and to form a roadmap specifying the high-level scope, sequence, and timing of establishing and leveraging master data domains. Coordinates an executive steering team comprised of global function heads to approve roadmaps and budgets
  • Maintain a backlog of features to be prioritized, budgeted and executed
  • Provide expert advice to project teams to help assure that MDM solutions are designed and developed in the optimal manner and in accordance with the enterprise data model
  • Identify, analyze and present latest industry innovations and implementations in the MDM workspace
  • Lead MDM implementation through best practices
  • Develop Data Quality, Reference Data, Metadata Management, and Data Governance requirements in support of MDM implementations
  • May leads other programs in a similar manner, such as Enterprise Content Management
  • Minimum of a Bachelor's degree (or equivalent) and 8 years of experience. However, a combination of experience and/or education will be taken into consideration
  • Must possess knowledge of
12

Head of Enterprise Data Management Resume Examples & Samples

  • Manage the Enterprise Data Management organization and lead the team in realizing MUFG America’s vision of data managed as an asset
  • Oversee and champion adherence to the data lifecycle and serve as the connection and facilitation between business data and the technology organizations implementing the data lifecycle process, data quality, and data lineage and data management best practices
  • Implement all shared services data projects, delivering data requirements, data quality, data mapping and transformation, data migration and reconciliation and testing scenarios
  • Oversee the collection, storage, maintenance and distribution of all shared services data and data solutions. Conduct assessments of the shared services environments, champion continuous improvement initiatives and drive innovation
  • In collaboration with key stakeholders, create and maintain the MDM and shared data strategy
  • Contribute to the data acquisition playbook
  • A track record of success in implementation of large cross organization technology data projects and data migration projects including MDM and data warehousing
  • Experience with managing a team with both operational and project responsibilities and with data warehousing
  • Experienced in delivering comprehensive data requirements
  • Possesses a strong understanding of control systems and relevant technologies and how they interact with each other
  • Strong management, organizational and evaluative process skills
  • Demonstrated ability to develop and maintain productive business relationships with internal partners and external vendors
  • Strong leadership and people management skills to build a cohesive team of members capable of succession to more senior roles
  • Exemplary coaching, mentoring and team member development skills
  • Effective negotiation and influencing skills, including strong written and verbal communication skills and strong presentation skills
  • Deep experience with IT infrastructure, IT application technologies and frameworks
13

Enterprise Data Management Service Leader Resume Examples & Samples

  • Other duties as assigned or reassigned by management
  • Management and motivation of processing teams with direct oversight of Team Leaders
  • Oversee post-audit specific processes and workflow to ensure all quality and timeline standards are being adhered to and report results accordingly
  • Performance Management and Reporting including service levels and key performance indicators
  • Provide thought leadership on best practices and enabling technologies including identification and implementation of process improvements
  • On-board processing for new in-scope client offices
  • Interact with internal and external customers when process changes or issues are identified
  • Provide management oversight for quality and compliance programs and attesting to statutory and regulatory requirements and state laws. Keep managers and team members are informed of policies, procedures, and corporate initiatives
  • Manage workforce planning needs, selection and hiring process, and making personnel decisions including but not limited to promotions, terminations, and transfers between teams
  • Provide regular and consistent communication that are relevant for associates to understand new events or changes to the center, customers, shareholders, and/or corporate
  • Strong leadership skills including ability to manage large operational staffs
  • Strong shared services or customer contact center background and experience
  • Knowledge of performance management and quality programs
  • Strong change advocate for process improvements and out of the box thinking including but not limited to process design skills
  • Knowledge of working in workflow managed environments and electronic work queues
  • Knowledge of SLA management programs and governance required to manage with customers of the center
  • Strong interpersonal communication as well as the ability to communicate with a range of audiences and personalities
  • Excellent communication skills (both oral and written)
  • Must be organized and able to look at different views and have
  • Detail oriented paying great attention to detail and deadlines
  • Minimum of 5 years employment in Title and Escrow industry or related financial or shared services experience
14

Director of Enterprise Data Management Resume Examples & Samples

  • Serve as technology expert able to lead the data lifecycle management
  • Create and develop appropriate methodologies for collecting, analyzing and presenting data
  • Analyzes and manages capital and expense budgets
  • Provide global leadership, strategic planning and effective management within Data Management
  • Champion development and implementation of quality controls and departmental standards to ensure adherence to high quality standards, organizational expectations, and regulatory requirements
  • Provides functional strategic leadership and execution of technology solutions and support, ensuring alignment with the company's business objectives
  • Establish functional strategic goals for improving operations, products and services. Initiate and direct activity aligned with achieving improvement goals
  • Identifies, proposes, and influences business solutions, negotiates deliverables and requirements across multiple business customers and lines of business
  • Anticipates industry future directions and relates those changes to current and future needs and projects
  • Works closely with technology senior management in order to fully understand business priorities of the function and the corporation as a whole
  • Manage, mentor, and evaluate performance of Data Management staff including setting-up goals and objectives, conducting performance evaluations, and providing staff with guidance on technical/project related issues as well as individual development plans
  • 10+ years of experience in data management roles
  • 2+ years of experience in managing and leading staff
  • Extensive experience in core DM activities (e.g. data integration, data specifications, ETL, etc.)
  • Experience overseeing large-scale enterprise project deliveries
  • Must be willing to travel up to 10% (to Chicago and MN), less if you live locally
  • Bachelor's or Master's degree in a relevant scientific discipline
  • Ab Initio experience
  • Exhibits expert level knowledge of data management processes to evaluate and recommend new technologies and systems for improved data management functionalities
  • Strong managerial and interpersonal skills
  • Self-sufficient and able to work with minimal oversight
  • Demonstrate leadership skills and the ability to lead teams and motivate team members, as needed
  • Excellent analytical and problem solving skills to work effectively with teams throughout organization
  • Strong vision setting, concept articulation and exceptional communications skills (presentation and written) that would facilitate effective partnering with internal customers, critical stakeholders and technical leadership teams
  • Ability to manage technically and geographically diverse staff and resources in both daily operations and production support
15

Manager, Enterprise Data Management Resume Examples & Samples

  • Lead requirements gathering for ETL and data repositories
  • Serve as a key liaison within IT and other departments
  • Manage direct reports to prioritize and catalogue EDM workload. Formalize support process for the EDM
  • Establishes processes for management of DM systems design, and requirements throughout their lifecycle
  • Serves as technical SME to analyze and resolve DM technical issues with available tools in a timely and accurate fashion to continually meet changing metrics requirements and business needs
  • Apply proven communication and problem - solving skills to guide and assist user groups on issues of business intelligence sourcing, reporting and documentation
  • Coordinate closely with business stakeholders to enable self - service and ensure consistency of data definitions and key business metrics
  • Assure compliance standard policies and data security procedures
  • Ability to communicate effectively both written and verbally
  • Experience working within both a team environment and independently
  • Exceptional written and interpersonal communication skills across all levels of the organization
  • 5+ years of experience as a Business Intelligence Specialist, Architect or Database Administration
  • 5+ years of Database, BI and Data Warehousing best practices, concepts and SDLC
  • 5+ years’ experience with data migration practices and integration tools (i.e., Microsoft Stack, Oracle Database, Informatica)
  • 3+ years of management experience (large enterprise)
  • 3+ years of project management fundamentals
  • Experience working in a complex or multifunctional / multi - location team / organization
  • Experience managing multiple priorities within a fast - paced organization
  • Experience building and maintaining strong relationships across multiple teams and stakeholders
  • Knowledge of cloud solutions, data modeling, database concepts and data management
  • Experience troubleshooting and finding multiple solutions to a complex problem
  • Experience working with both on - shore and off-shore partners to implement critical programs
  • Experience with the complete information system life cycle particularly within the Agile / Scrum methodology
  • Familiarity with meta - data management tools - enterprise repository tools, data modeling tools and data profiling tools (i.e. Informatica, Erwin, DataStage)
  • Experience working in a large data focused organization is a plus; especially health services enterprise data management organizations
16

Director Enterprise Data Management Resume Examples & Samples

  • Manages multiple initiatives and teams including planning, resource allocation, architecture, contingency plans, budgeting and personnel directions
  • Designs and implements processes and technology to deliver usable information to analysts and data scientists
  • Excellent written and verbal communications with the ability to facilitate meetings, influence outcomes, and communicate with CHS executives
  • Provides Executive-level project updates as needed
  • Participate in strategic planning discussions and represents the Enterprise Information Management function
  • Regularly evaluates and communicates project progress, problems and solutions,
  • Facilitates the resolution of issues
  • Educates and mentors other team members on best practice in Enterprise Data Management
  • Manages the administrative activities of the department, including the development of work plans, procedures, training plans, computer job accountability, and supervision of project team personnel
  • Considerable responsibility and judgement is exercised with departmental policies
  • Work is established by and reviewed with the Assistant Vice President of Information Services & Analytics for Enterprise Information Management
17

Senior Analyst Enterprise Data Management Resume Examples & Samples

  • Participate or lead the development of processes and procedures to support data management across the bank
  • Provide guidance and advice to various Lines of Business in the use of various Data Management tools and processes
  • Support the OCDO in the creation and operationalization of strategies related to enterprise data management,
  • Provide functional support of the tools and processes associated with Data Management implemented by the OCDO
  • Works with the Data Steward community and CDO Liaisons to ensure that all data operations in each Line of Business is aligned with Enterprise data standards
  • Work collaboratively with other team members and keeps them up to date on progress of projects and relevant or useful information related to day to day activities
  • Understand Data Management best practices in the industry and data initiatives at TD
  • Experience working on (or consulting on) complex business/technology initiatives within and across multiple businesses
  • Interpersonal and relationship management skills with a focus on negotiation and collaboration
  • Proven record of professional interactions with senior executives, consultants, vendors, and regulatory bodies
  • Excellent written and verbal communication with the ability to present ideas and facilitate discussions to build consensus
  • Ability to learn quickly about new business areas looking to implement EDM related projects
  • The ability to work independently and as part of a larger team
  • Strategic thinking skills
  • A strong attention to detail and the ability to consider how work underway impacts other areas/projects
  • Ability to thrive in a face paced, dynamic, detail oriented, sometimes ambiguous environment. High tolerance for the pressure of constant change and stringent timelines
  • Creative thinking and analytical skills to review other business’s work and identify areas for improvement
  • Flexibility and change leadership skills are required
  • Previous experience in data governance, data or information management is an asset
  • Project management, big data, or analytics experience would be an asset
  • Proficient in Word, Excel, and PowerPoint
  • Previous experience leading high performance teams in a demanding environment​
18

Enterprise Data Management Resume Examples & Samples

  • Develop and support the overall Enterprise Data Management Strategy: Ensure Cigna's Enterprise Data Management program and roadmap focuses on building enterprise data that is accurate, standardized, and optimized. Increase data confidence and help support the move from a reactive to proactive development environment. The team also supports the definition and tracking of investment returns and operational efficiencies, with the aim to reduce the cost of poor data
  • Track and manage data quality: Establish and execute approach, processes, and procedures to appropriately diagnose enterprise or specific business data quality issues. Lead business owners in remediation efforts; monitor the impact of imperfect data and flag those that have not been immediately corrected due to prioritization or timing issues. Audit external data on entry to Cigna to ensure that only quality data is allowed into the environment
  • Deliver and enforce security of enterprise data assets: Identify architectural components impacting data and provide frameworks to enable storage, integration, usage, access, and delivery of enterprise data assets
  • Manage metadata: Facilitate enterprise-wide data standardization across all metadata components (business, technology and operations). Document business rules and make them available to users to provide clarity around data meanings
  • Must be knowledgeable of healthcare or related industry terminology, concepts and value chain, including in-depth knowledge of one or more key healthcare business processes, e.g. customer installation, client setup, healthcare professional management, claim adjudication, product/benefit configuration, clinical, finance, etc
  • Must be skillful at verbal and written communication to both leadership teams and peer groups
  • Must be comfortable working with senior management, both on the business and technical sides. Must demonstrate ability to create professional relationships and effectively partner with and influence a cross-functional team
  • Must be proactive in building and aligning stakeholders, capabilities, and resources for getting things done quickly and achieving complex objectives
  • Working within large corporate, highly matrixed environments and establishing working relationships and partnerships with senior business stakeholders and IT leaders
  • Building and leading diverse teams with both internal and external resources and managing vendors to agreed-upon performance levels
  • Understanding value of information in enabling business success, serving as champion for data as corporate asset, driving cultural change, and shaping development and execution of business vision
  • Understanding how data is utilized in health care processes to drive growth and differentiation; working with healthcare terminology and having a solid understanding of the healthcare value chain and key stakeholder expectations / bias
  • Discerning needs vs wants through challenging parties as to what decisions will be made with information they are requesting; resolving conflicts and drive collaboration across organization
  • Managing through systems and measuring work; meeting deadlines and producing quality results under pressure
19

Senior Manager, Enterprise Data Management Resume Examples & Samples

  • Ensure that current production processes are executed correctly, completely and timely. Appropriately escalate the issues that may arise in the production
  • Execute MDM Control framework - tasks may include data profiling, auditing, balancing, field and full file level validations; escalate and resolve the issues found by controls for existing production jobs
  • Lead the testing for MDM data consumption phase and testing for the integration of additional sources, escalate and resolve the issues found in testing or in auditing
  • Provide necessary Project management coordination to advance the MDM
  • Ensure that data moves through different MDM-related flows in the complete, correct and timely fashion both for inbound and outbound processes via existing Controls. Identify the need for the new Controls if necessary
  • Maintain up to date documentation for the MDM production, testing ,integration, control and development processes
  • Maintain the MDM current activity log, ensure that MDM team members are aware of the upcoming tasks and the timelines
  • Provide on-boarding for the new members of MDM project to ensure that the staffers are productive in speedy fashion; ensure that training is available for new and existing members of the team
  • Maintain and enhance Enterprise Data Dictionary by including new SIRXM systems and ensuring that already defined terms are periodically reviewed for relevance and usability
  • Working understanding of MDM, data quality, data lineage, metadata and experience with data modeling, data dictionary and data analysis
  • Demonstrated Data Quality procedural and analysis skills
  • Solid understanding of the enterprise-wide data flows including customer data flows
  • Strong process and project management skills, auditing and analytical skills; ability to direct the activities of the appropriate staff of the MDM team
  • Ability to direct and influence the activities of cross-functional teams for the purpose of building data dictionary
  • Excellent communication and presentation skills and ability to interact appropriately with all levels of the organization, including: senior management, business users, technical staff, vendors, and partners
  • Strong knowledge of Microsoft Office suite, including Excel, Word, PowerPoint, Visio and Project
  • Hands on experience with Microsoft SharePoint configuration, security and administration
  • Working knowledge of ServiceNow or related ITIL tools and concepts
  • Hands on experience with SQL, Oracle PL/SQL a plus
  • Familiarity with data profiling and ETL/ESB data integration tools a plus
20

Manager, Enterprise Data Management Resume Examples & Samples

  • Leads the development and implementation of EDM, including Master Data Management (MDM) Strategy and Data Governance (DG) and enforces data management standards / best practices
  • Responsible for Enterprise Data Management “Program Manager” duties; Working with senior leadership in setting strategic priorities, setting milestones, reviewing progress, and reporting status
  • Applies EDM and DG principles to create an efficient and effective data management environment that serves multiple business units in their pursuit of a data-driven organization
  • Establish and maintain working relationships with all levels of business leadership to ensure business needs are met
  • Establish a formal EDM, MDM and DG program that creates effective engagement between EDM, business operations, delivery teams, and IT
  • Execute a holistic, multi-pronged approach to embedding EDM, MDM and DG principles and practices across the enterprise
  • Develop and evolve effective strategies, tools, and training to optimize EDM, MDM and DG engagement into the lifecycle of critical waterfall / agile based projects and programs
  • In conjunction with impacted business operations, prioritize, drive, and monitor the development of data improvement opportunities or mitigating / corrective action plans
  • Develop timely communication and engagement to enable informed strategic decision making, actions, and adoption of EDM standards
  • Maintain extensive knowledge and expertise of new technologies and data management practices through exposure to industry practices, changing technology, and proactive networking
  • Identifies and coordinates the sharing of best practices
  • Translates the enterprise data value proposition into tangible operational benefits
  • Work closely with the Enterprise Data Warehouse (EDW) team to plan for and deliver complete, consistent data for data science and analysis
  • Coordinate with senior IT resources to guide the technology implementation of an MDM platform
  • Engage with the business to dissect processes and incorporate proper data governance controls that align with strategic MDM priorities
  • Education: Bachelor’s degree or above
  • Experience: 8-10 years of progressive experience in data management, data governance, data stewardship, data quality management, master data management, analytics, metadata management, data architecture and business intelligence
  • Establishing and maintaining working relationships and partnerships with senior business stakeholders and IT leaders
  • Understanding how data is utilized to drive growth and differentiation
  • Verbal, written, and presentation skills with ability to establish rapport, persuade others, and gain understanding with stakeholders
  • Meeting deadlines and producing quality results under pressure
  • Dealing with ambiguity and working independently with limited direction / guidance
21

Assistant VP-enterprise Data Management Resume Examples & Samples

  • Working closely with various business units such as Underwriting (Casualty, EPC -Energy, Property, Construction, Professional, and Specialty), Distribution, Enterprise Operations, Finance, Risk Management, Central Broker Management, Actuarial, and Strategic Analytics, in the definition and development of management reports and reporting performance measurements solutions
  • Team Management and efficient BAU report production
  • Lead existing Data Quality Reporting Projects
  • Lead Management Reporting project work streams or work as project team member. Help define and manage key stakeholder expectations and drive the successful delivery and completion of projects
  • Support and Lead management/operational reporting standardization across XL Catlin
  • Analyze, define and prioritize business requirements
  • Graduate/Post Graduate with 6 to 10 years of experience. Experience in Quality Control and Insurance Sector will be added advantage
  • Relevant experience in Team Management
  • Experience in MIS, Reporting, Project Management skills and Quality
  • Experience in managing expectations of the business and user community
  • Flexibility to operate efficiently and effectively within a matrix based structure
  • Excellent Communication skills and able to explain technical work to the business in simple terms
  • Strong Project Management skills and able to work independently with minimal supervision
22

VP, Enterprise Data Management Resume Examples & Samples

  • Develops programs, policies and strategies that support the use of data as a strategic asset and competitive weapon. Communicates, influences and oversees the implementation of enterprise initiatives and guidelines to support the adoption of the enterprise data management program
  • Drives technology management by ensuring the efficient design, availability and operation of the Enterprise Data Lake (EDL). Communicates and influences the use of the Enterprise Data Lake (EDL) as a core Bank technology platform that delivers well defined, trusted and timely enterprise data. Also manages the Bank's legacy Enteprise Data Warehouse platform and oversees a program to manage its migration to the Enterprise Data Lake (EDL)
  • Matures the organization in its use of data to drive business value through a center of excellence that will provide technology, expertise and training to promote a self-service data model
  • Creates and fosters knowledge sharing as an enterprise function that provides project consultation and support for initiatives that require enterprise data connections
  • Manage a global function of approximately 115 FTE that supports all business lines and corporate functions
  • Frequent interaction with the Bank’s Senior and Executive Management across the business line, corporate and control functions and IT&S
  • Oversee an operating budget of approximately $21MM, and project budget of approximately $20MM. Strong financial and project management skills required
  • Must ensure support and availability of enterprise systems such as the Enterprise Data Lake, Enterprise BI tools and Enterprise Data Management tools, where the consequence of error could expose the Bank to a significant loss or undue risk
  • Works closely with initiatives that have strong regulatory oversight that may require direct contact with the regulators, including OSFI
  • Frequent interaction and negotiation with vendors, including contract negotiations and input to their product development
  • Active participation in industry data related forums and conferences
23

Enterprise Data Management Internship Resume Examples & Samples

  • Currently enrolled at an accredited university with a finance, business, economics or data analytics similar focus
  • MS Office proficiency, with Excel and Power Point
  • Currently enrolled at an accredited university with a Finance, Business, Economics, Data Analytics, or similar focus
  • Interest in pursuing a career in the financial industry and markets
  • Academic excellence with the ability to navigate ambiguity
24

Enterprise Data Management Resume Examples & Samples

  • Act as central owner of data governance capabilities, coordinating standard development and adoption across the organization
  • Work with all relevant stakeholders in the board areas to design appropriate data governance processes to enable business transformation
  • Assist in creating governance framework and prioritizing improvement opportunities, particularly in the context of the Run Simple programs
  • Assist in ensuring compliance of globally accepted standards across the organization
  • Coach stakeholders on development of harmonized policies
  • Regularly report to senior EDM and COO leadership on impact of improvements
  • Syndicate best practice adoption through active participation and leadership of a virtual community of SAP stakeholders
  • Contribute to organizational alignment and become an acknowledged leader and expert
  • 8+ years of professional working experience
  • Knowledgeable in CRM master data concepts, use, and technology; must have prior experience analyzing per business requirements
  • Experience working within operations-related or business functions is an advantage
  • Coaching and Project Management skills, ability to manage large projects
  • Excellent written, verbal and listening communications skills needed
  • Must have very good interpersonal skills; be able to work well on a cross-functional team environment
  • Must be very detail-oriented, goal-oriented, willing to "do what it takes" to meet agreed-upon target schedules
  • English: Level 3: Fluent (Able to fluently understand and communicate verbally and in writing)
  • Knowledge of data governance tools a plus (Information Steward, Metadata Management)
25

Enterprise Data Management Resume Examples & Samples

  • The EDM Master Data Management lead will work closely with technology and business data leads on both tactical and strategic MDM solutions, to enable a less complex data environment positioned to scale for future business growth
  • This function will conduct deep dive current state analysis including all aspects of customer integration across the ecosystem of business processes
  • The candidate will leverage current state analysis to contribute to future state requirements, design, vendor analysis, options and selections
  • Ensure operational execution of daily responsibilities for the following functional areas: Implement customer master data solution
  • Conduct current and future state assessments
  • Maintain current and future state MDM alignment with the following themes
  • Improve business efficiency and optimize business processes
  • Consolidate, simplify and modernize across the enterprise
  • Alignment of data initiatives with the data strategy
  • Contribute to the following initiatives- Master Data Management strategy
  • Bachelor’s degree and minimum 15 years related technology experience with significant people management responsibilities
  • Candidate requires the following
26

VP of Enterprise Data Management Resume Examples & Samples

  • Lead delivery of seamless and friction-less public facing user experiences across multiple digital touch points
  • Drive performance and delivery of data solutions across multiple teams; Lead adoption of agile methodologies where appropriate
  • Manage client/business partner relationships to ensure that application delivery expectations are developed, managed, and exceeded; Own the relationship, when the objectives are not feasible, lead discussions to identify the best solution
  • Ensure consistent delivery of reliable and stable databases and analytic engines consistent with the business requirements; Direct software engineering and code branching approaches to support parallel development across multiple teams
  • Coordinate with Project Managers to prioritize releases and deliverables while managing initiatives to ensure high quality, on time deliverables are completed within budget
  • Participate in the formulation of technology strategy and supporting sustained innovation in both technical solutions and methods of delivering source code management and appropriate documentation standards
  • Perform other duties as assigned
  • Direct management of the development teams to include recruiting, project assignments, scheduling, training, performance reviews, and mentoring as well as participating in budget activities
  • Direct and lead staff; guide and coach staff in completion of day-to-day responsibilities and ensure that established policies and procedures are followed
  • Handle interviewing, hiring, promotions, transfers, performance appraisals, compensation, counseling and termination of staff
  • Develop and maintain all subordinate personnel by applying the necessary training and leadership that will allow internal growth and advancement
  • Bachelor’s degree in Computer Science or Management Information Systems related disciplines required
  • Project Management (PMP) and Scrum certification preferred
  • Certifications in ITIL, Six Sigma, and Agile, preferred
  • Ten (10) years of experience in database management and data analytics field, playing a lead role on digital/eCommerce projects
  • Ten (10) years of demonstrated success leading software development activities
  • Five (5) years of experience with agile development (SCRUM methodology) preferred. Experience in adoption of open source solutions preferred
  • Demonstrate behaviors based on PSCU values
  • Thorough knowledge and experience with Distributed technologies; Significant hands-on experience in design, implementation, and development of public facing databases and analytics engines
  • Knowledge of object oriented approaches and working within an MVC framework
  • Experience with diverse coding environments, Java and .NET technologies employed within front and back end solutions; Experience with ALM software (Atlassian suite, including Jira, GIT, and Fisheye knowledge preferred); Knowledge of XML, scripting, search products, content management and WebSphere preferred
  • Demonstrated experience with implementing and supporting Internet commerce systems
  • Proven track record of building strong team relationships; history of successful delivery and working with the third party vendors
  • Ability to communicate effectively in both verbal and written formats and give presentations utilizing various audiovisual support aids
  • Proven track record of leading development teams and providing technical direction and leadership on successful projects
  • Demonstrated success managing and optimizing on-shore & off-shore resources
  • Ability to solve complex technical problems and communicate the solution to non-technical management and peers
  • Ability to exercise discretion and good judgment in making decisions
  • Ability to travel as needed to successfully perform position responsibilities
  • Ability to maintain confidentiality of materials handled
  • Ability to be flexible and work under high pressure in a complex environment
27

Senior Analyst, Enterprise Data Management Resume Examples & Samples

  • Collaborate functionally across business process, data & system domains to ensure all needs are met with respect to master data
  • Actively contributes to the results of a team and works towards achieving team goals and objectives
  • Support the development and implementation of capabilities to improve, monitor, and audit data quality within the reporting and analytics environment
  • Intermediate in Microsoft Office applications, particularly MS Excel, Visio
  • Demonstrates competency in: understanding and correcting data discrepancies; reading and translating data models; data querying; identifying data anomalies and root cause analysis
  • Strong knowledge of SQL and the ability to query relational databases; expert SQL on databases such as SQL Server and Oracle
  • Excellent listening, written, and oral communication skills, with strong customer service orientation
  • Strong interpersonal relationship skills
  • Ability to interview, formulate questions
  • Problem solving and troubleshooting capabilities
  • Ability to handle multiple tasks, prioritize accordingly and make decisions as required
  • Be highly collaborative, team-oriented and strong consensus builder
  • Has basic knowledge of general business environment/operation and has general cost benefit awareness
  • Minimum of 2 years of experience retail, distribution industry
  • Minimum of 2 years of experience in Business Decision Modelling / Management or similar
28

Manager, Enterprise Data Management Resume Examples & Samples

  • Lead the design and implementation of end-to-end EDM processes that focus on the end user experience, including both business processes and those that support tools implemented by the OCDO
  • Work with internal and external Stakeholders to ensure all data management processes meet the needs of the end user community
  • Play a leading role within project teams in the development and deployment of data management process improvement deliverables using the lean methodology
  • Intersect process requirements to data management technology needs and business value measurements
  • Work with the Data Steward community and CDO Liaisons to ensure that all data management processes in each Line of Business is aligned with Enterprise data standards
  • Build effective relationships with key business partners within the OCDO and across business teams
  • Deliver financial and customer benefits to the OCDO and business stakeholders
  • Prioritize project initiatives to ensure direct linkage to OCDO KPI’s
  • Recommend business solutions to improve process efficiency and effectiveness
  • Support effective communication and training for EDM process, tools, and measurements
  • Promote the adoption of process improvement best practices across the OCDO and drive user adoption