Data Owner Lead - VP

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgment to solve real-world challenges that impact our company, customers, and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo, and striving to be best-in-class. As a Data Governance - Vice President within Wholesale Credit Risk, you will be responsible for managing Data quality, define data contracts, manage data entitlements, enable data sharing within wholesale credit risk. You will collaborate with credit risk stakeholders, subject matter experts, and technology partners to define clear requirements and drive execution. You will use data, metrics, and customer feedback to guide prioritization and continuous improvement. Job Responsibilities Manage Data quality forum partnering with Credit CDO, data producers and stakeholders. Manage data models for data mesh publications. Leverage LLMs and AI for day to day activities. Contribute towards Data Governance vision that delivers value to customers Partner with solution architects and technologists to influence technical approaches to meet desired business outcomes Participate in cross-functional teams to contribute to the Data Governance roadmap and prioritization of enhancements and new features Build Senior management presentations and manage project plans. Required qualifications, capabilities and skills Bachelor’s Degree in a relevant field 6+ years of relevant work experience in Credit Risk, Data Governance, Product or a related capacity Strong, clear, and concise written and verbal communication skills with the ability to prepare executive-level communications Ability to manage competing priorities under tight deadlines Proven ability to collaborate, influence, negotiate and build strong partnerships Intellectual curiosity with a proven ability to learn quickly High degree of initiative, self-direction, and ability to work well under pressure Understanding of Credit Risk Data Ability to lead, drive consensus, and deliver in a matrix organization with multiple stakeholders Experience using data and metrics to drive decisions Proficiency in process re-engineering or similar Preferred Qualifications, capabilities and skills: Experience with Agentic AI. Knowledge of SQL Data modeling skills Experience with Databricks Experience with Cloud Native technologies