Data Governance Manager Jobs in Delaware (NOW HIRING)

Job Summary

Join the Credit Risk Controller Data Management team in an analytical role where you'll engage with stakeholders to transform discussions into high-quality outcomes. As strategic partners to Risk and Compliance, and Finance, you'll provide accurate data and narratives on credit risk for the Firm's wholesale business and collaborate with key stakeholders, including the Firmwide Chief Risk Officer and Chief Financial Officer, to support JPMorgan Chase's growth by anticipating risks and solving real-world challenges. Embrace a culture that values innovation and excellence in Risk Management and Compliance.

As an Associate within the Credit Risk Controller Data Management team, 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 judgement 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.

Job Responsibilities:

• Ownership of assigned workstreams across data and technology initiatives that support Credit Risk Controller priorities, including requirements definition, documentation, testing coordination, and change management. 
• Partner with Risk, Finance, Product, and Technology to translate business needs into clear data requirements, assess downstream impacts, and support user acceptance testing to ensure solutions meet control and reporting expectations.
• Help identify and document critical data elements and strategic data sources used in credit risk processes, including end-to-end data lineage across sourcing, transformation, and consumption. 
• Support data governance activities by maintaining data dictionaries, lineage artefacts, control documentation, and evidence in accordance with internal standards and applicable policies.
• Contribute to data quality monitoring by defining checks, assisting with exception management workflows, and coordinating with data owners and technology teams to drive timely resolution and reduce recurrence.
• Help streamline data sourcing and reporting workflows by identifying duplication, manual touchpoints, and opportunities for standardization and automation. 
• Build and maintain reporting and analytics solutions using firm-approved tools and practices, with attention to documentation, validation, and operational readiness.
• Contribute to automation initiatives, including leveraging system feeds and approved LLM-enabled capabilities where appropriate, to improve scalability and reduce operational risk.
• Communicate project status, risks, dependencies, and outcomes to stakeholders with clarity and discipline, producing concise materials that support decision-making. 
• Demonstrate sound judgment, escalate issues proactively, and operate with a strong ownership mindset while working effectively across teams and levels of seniority.

Required Qualifications, Capabilities, and Skills :

• Bachelor's degree in a related discipline such as Business Administration, Finance, Data Science or Analytics
• 3+ years of demonstrated leadership with experience in data management, data analytics, data governance, risk management, finance, or a related function within a regulated environment
• Demonstrated ability to translate business questions into data requirements, perform structured analysis, and document outcomes in a manner suitable for audit and controls review.
• Working knowledge of data governance concepts, including data lineage, critical data elements, data quality controls, and evidence-based documentation.
• Strong written and verbal communication skills, with the ability to tailor messaging for technical and non-technical stakeholders and to support cross-functional alignment.
• Proven ability to manage competing priorities, meet deadlines, and execute consistently with attention to detail and control discipline.