Data Management Lead Vice President

What you'll do

• Execute reporting for metadata change volume, closure, and aging while communicating trends to stakeholders.
• Monitor metadata quality and workflow health to identify risks and opportunities for improvement.
• Partner with technology teams to remediate functional gaps and reconciliation issues in the data catalog.
• Manage the intake of functional requirements by clarifying needs, documenting outcomes, and tracking delivery.
• Support cross-functional efforts for data lineage and data contracts through coordination and standards alignment.
• Provide structured problem-solving and clear recommendations to support tactical fixes and long-term improvements.
• Create executive-ready materials that translate complex data into actionable business decisions.

What we're looking for

• 5+ years of applied experience in data governance, data analytics, data lineage, risk, controls, or compliance.
• Formal training or certification in data governance, data analytics, risk, controls, compliance, or a related discipline.
• Advanced skills in SQL and Python for analysis, automation, and reporting.
• Advanced skills in Microsoft Excel and Microsoft PowerPoint, including strong data storytelling and executive communication.
• Experience with Alteryx for data preparation and workflow automation.
• Intermediate skills in Tableau to build and maintain insightful dashboards and visualizations.
• Understanding of Artificial Intelligence and Machine Learning concepts and familiarity with common Artificial Intelligence tools.
• Experience working in Amazon Web Services environments, including collaborating with engineering teams on data platforms.
• Bachelor’s degree in Business, Data Management, Data Science, Management Information Systems, Statistics, or a related field (preferred).
• Experience with Databricks and Snowflake in enterprise analytics or data engineering contexts (preferred).
• Knowledge of consumer banking products and systems, and understanding of relevant regulatory requirements (preferred).
• Experience partnering with JPMorganChase technology teams in analyst, risk, or technical roles (preferred).
• Experience improving metadata controls, workflow adoption, and data quality operating practices at scale (preferred).