JPMorgan Chase
Data Owner Lead - Data Management Operations - Vice President
$133K–$205K
Jersey City, NJ · Director · Full-time · Posted Oct 21, 2026
- Experience
- Five years in data management, data governance, or risk management/analytics.
- Education
- Bachelor’s degree in Data Science, Computer Science, Information Systems, Data Analytics, or equivalent professional experience.
About the job
Leads data strategy and delivery of governed, reusable data products that integrate multiple sources for business operations, reporting, and advanced analytics.
What you'll do
- Deliver data solutions and curated data products; manage execution, timelines, risks, and stakeholder requirements.
- Establish metadata, data quality, privacy, lifecycle, and governance controls, and resolve data issues with business and technology partners.
- Use AI/ML and LLM tooling to automate governance and data management, including prompt creation and evaluation and agent-based workflow design.
What they ask for
- Bachelor’s degree in Data Science, Computer Science, Information Systems, Data Analytics, or equivalent professional experience.
- Five years of experience in data management, data governance, or risk management/analytics, including delivery or close partnership on enterprise data products or curated datasets integrating multiple sources.
- In-depth understanding of data management principles and governance frameworks, and working knowledge of the data development lifecycle and data product operating model.
- Demonstrated leadership, project delivery, stakeholder communication, and cross-functional collaboration skills.
Nice to have
- Experience with AWS, Azure, or Google Cloud; data lake/lakehouse concepts; or information architecture.
- Familiarity or hands-on experience with AI, machine learning, LLMs, SQL, or Oracle; experience in data product management or digital transformation.
Pay
USD 133,000.00-$205,000.00 base salary
Tools
AWS, Azure, Google Cloud, SQL, Oracle, AI/ML, LLMs
AI focus
Leverage AI/ML and LLM tooling to automate governance and data management activities, including metadata drafting/classification, control evidence generation, quality rule suggestions, and lineage/documentation assistance; create and evaluate prompts and contribute to agent-based workflows.
Model-written summary · the original posting is authoritative