CIB - Reference Data Operations - Data Management Lead - Vice President

Job Description

About J.P. Morgan Corporate & Investment Bank JPMorgan s Corporate & Investment Bank (CIB) is a global leader across banking, markets and investor services. The world s most important corporations, governments and institutions entrust us with their business in more than 100 countries. With $18 trillion of assets under custody and $393 billion in deposits, the Corporate & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.Department DescriptionWith exponential year-over-year growth of data generated, strong Data Governance, including Data Quality, is critical to ensure clean, fit-for-purpose data. The CIB Chief Data Office (CDO) is responsible for defining and implementing the Firmwide Data Management strategy to create an industry-leading data environment.The program scope continues to evolve and encompasses cultural, behavioral, procedural and systemic transformation aligned to the full range of businesses (such as Markets, Securities Services, Payments, Research and Banking, and Reference Data). CIB CDO offers a unique perspective into the role of data in the financial industry, partnering with a variety of stakeholders across sub-LOBs, Corporate Functions and the Firmwide Data Management organization.Key Responsibilities

• Help execute and manage the firmwide data governance vision and strategy as it pertains to data profiling and data quality capabilities
• Manage a team of data quality strategists including delivery and performance objectives, and development goals.
• Project manage the delivery of strategic initiatives to evaluate and implement data quality best practices and governance.
• Evaluate internal and external tool landscape and lead proofs of concept on data governance and data quality tools
• Direct growth and maintenance of a knowledge base of best practices, guidelines, standards and training for the DQ community to enable and accelerate their DQ initiatives.
• Provide oversight and socialization of business process models and workflows for Data Quality
• Manage user stories from the Data Quality community and develop business requirements to build strategic Data Quality capabilities.
• Help build a repository of DQ Rule definitions and governance methodology.
• Manage requirements gathering, analysis, and documentation, manage stakeholder expectations, and pursue stakeholder sign-off.
• Manage End to End Test management involving strategy, plan & test cases, scripting, defect & gap analysis, etc.
• Oversee escalated Risks, Assumptions and Issues management
• Oversee overall test completion report summarizing test progress, execution and results
• Adhere to bank s internal processes (configuration management, change control, access to data & systems, etc.)
• Actively seek and apply Process Improvements across the project.

Qualifications

• Bachelor degree or equivalent work experience (12+ years)
• 6+ years of experience in a Data Governance organization
• 6+ years of Business Analysis and/or Project Management experience
• 6+ years of Data Profiling, and DQ Rule Development or DQ Analysis.
• Excellent prioritization, planning, organization and time management skills.
• Understanding of Application Development principles, Software Development lifecycle, and Agile or Waterfall methodologies.
• Proven ability to work across diverse groups, build consensus and execute agreed plans.
• Excellent communication skills, both written and oral.
• Ability to structure communication to various reporting levels (analyst to senior management) and audiences (Technology, Operations, Finance).
• Ability to quickly understand a complex matrix of systems across infrastructure, interdependencies and relationships.
• Excellent interpersonal skills, comfortable at interacting with and communicating to all levels of Management, and able to influence diverse stakeholder groups.
• Quick learner (technical knowledge, systems, and business acumen).
• Must be detail oriented, highly responsible and able to work with tight deadlines.

Preferred experience:

• Prior experience managing a small team is highly desirable.
• Prior Experience working with Data Profiling or Data Quality Rules and Monitoring tools like Informatica Data Quality (IDQ), Informatica PowerCenter, OwL DQ, Ab Initio Data Quality Environment (DQE), Alteryx, or other similar data quality and profiling tools.
• Project Management, Business Analysis, and SDLC skills are highly desirable.
• Experience with Application Development, Information Architecture, SQL and Data Modelling (Erwin and/or MagicDraw) are advantageous.
• Experience on Python, QlikView, Tableau is advantageous.
• Must be able to manage people, performance objectives, provide feedback and guide others.

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Keyskills :
project managementautomationab initiotest casesdata qualitygap analysisuser storiesdata modelingdata profilingchange controlknowledge basedata management