Data Product Lead, Governance & Operations

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Owner Lead within the Chief Data & Analytics Office to drive data strategies and foster a data-driven culture. Lead governance, curate data products, and enable analytics across enterprise with collaboration across Business, Technology, Analytics, Operations, and Risk functions.

Role emphasizes hands-on data product delivery, data quality, security, and lifecycle management, leveraging AI/ML tools to advance governance and enterprise data solutions.

Qualifications

• Bachelor’s degree in data-related field or equivalent professional experience.
• Five years of experience in data management, governance, or analytics.
• Proven leadership to manage delivery timelines.
• Understanding of data governance and lifecycle management.

Responsibilities

• Implement strategic plans to deliver data solutions and data products.
• Manage project execution, mitigating risks and inefficiencies.
• Document metadata and ensure data quality and discoverability.
• Provide SME on data content and usage within product areas.
• Build relationships with data providers and consumers across functions.
• Define requirements for integrating multiple upstream sources.
• Develop processes to identify and mitigate data risks across lifecycle.
• Govern data integration into analytics platforms for ML use cases.
• Leverage AI/LLM tooling to automate governance and data management.

Skills

Bachelor’s degree in Data Science/CS/"

5+ years data governance/analytics

Leadership across cross-functional

Data product delivery

Analytical problem solving

Effective communication

Education

Bachelor’s degree or higher in data-related field

Tools

AWS

Azure

Google Cloud

Job description

JPMorgan Chase & Co. is seeking a Data Owner Lead within the Chief Data & Analytics Office to drive data strategies and foster a data-driven culture. Lead governance, curate data products, and enable analytics across enterprise with collaboration across Business, Technology, Analytics, Operations, and Risk functions.

Role emphasizes hands-on data product delivery, data quality, security, and lifecycle management, leveraging AI/ML tools to advance governance and enterprise data solutions.