Data Owner Sr. Associate

Testing Site - JPMC; United States; On-site; USD 95,000 - 135,000; Full time

Job summary

Testing Site - JPMC is seeking a Sr. Associate Data Owner to shape data product outcomes across Product, Data, and Technology.

You will translate business needs into data requirements and partner with product, engineering, analytics, and risk to deliver trustworthy, analytics-ready data. In this role you will own data product outcomes, define scope and success metrics, manage dependencies, and ensure data governance, quality, and compliance while driving measurable improvements for Home Lending

Qualifications

• Bachelor’s degree and 3+ years in data-focused roles with demonstrated partnership across product and technology teams.
• Experience delivering across multiple workstreams with competing timelines and dependencies.
• Strong understanding of product/business data and processes; ability to frame data work in terms of customer outcomes and value.
• Working knowledge of data management, governance, big data platforms, and/or data architecture, including SQL.
• Ability to prioritize, manage ambiguity, and drive work forward in a matrixed organization.
• Strong communication skills—able to explain technical concepts to non-technical audiences and align stakeholders on decisions.
• Structured, analytical thinker with strong business judgment.
• Familiarity with Agile delivery and iterative development.
• Commitment to data quality, protection, and compliance as non-negotiable deliverables.

Responsibilities

• Own product data outcomes: Support the design, development and delivery of data products aligned to strategic business objectives and analytics use cases.
• Translate needs into requirements: Partner with stakeholders to understand data usage, define critical data elements, and document meaning, purpose, lineage, and metadata classification.
• Enable analytics and decisioning: Identify data products needed for integration into analytics platforms and help ensure it is fit-for-purpose for reporting, insights, and advanced analytics.
• Drive data quality as a product feature: Define and coordinate requirements for accuracy, completeness, timeliness, and consistency; establish clear acceptance criteria and controls.
• Manage delivery across teams: Coordinate with technology and data delivery partners to resolve data issues, unblock dependencies, and keep workstreams on track.
• Mitigate risk and ensure governance: Contribute to processes that identify, monitor, and reduce data risk while supporting compliance with firmwide standards for integrity and protection.
• Influence through partnership: Build strong relationships with product, engineering, analytics, and risk partners; communicate tradeoffs and align on priorities.
• Measure and report progress: Track workstreams, milestones, and KPIs to support predictable delivery and continuous improvement.

Skills

Data product ownership

Cross-functional collaboration

Data governance

Prioritization

Effective communication

Agile delivery

Data quality & compliance

Analytical thinking

Stakeholder management

Education

Bachelor’s degree

Tools

SQL

Job description

Are you energized by building products with data—not just reporting on them? Join us to shape how we deliver trusted, well-governed data that improves the Chase customer experience. You’ll sit at the intersection ofProduct, Data, and Technology, translating business outcomes into clear data requirements and partnering across teams to deliver data that isdiscoverable, reliable, secure, and analytics-ready.

As aSr. Associate Data Owneron the Home Lending Originations Data Owner team, you’ll help drive our data strategy the way a strong product leader would: clarifying customer needs (data consumers), defining scope and success measures, prioritizing work across dependencies, and ensuring what we ship meets quality and control standards. You’ll collaborate closely with Product, Engineering, Analytics, and Risk to enable scalable data delivery while proactively managing data risk and compliance.

Job Responsibilities

• Own product data outcomes:Support the design, development and delivery of data products aligned to strategic business objectives and analytics use cases.
• Translate needs into requirements:Partner with stakeholders to understand data usage, define critical data elements, and document meaning, purpose, lineage, and metadata classification.
• Enable analytics and decisioning:Identify data products needed for integration into analytics platforms and help ensure it is fit-for-purpose for reporting, insights, and advanced analytics.
• Drive data quality as a product feature:Define and coordinate requirements for accuracy, completeness, timeliness, and consistency; establish clear acceptance criteria and controls.
• Manage delivery across teams:Coordinate with technology and data delivery partners to resolve data issues, unblock dependencies, and keep workstreams on track.
• Mitigate risk and ensure governance:Contribute to processes that identify, monitor, and reduce data risk while supporting compliance with firmwide standards for integrity and protection.
• Influence through partnership:Build strong relationships with product, engineering, analytics, and risk partners; communicate tradeoffs and align on priorities.
• Measure and report progress:Track workstreams, milestones, and KPIs to support predictable delivery and continuous improvement.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree and3+ yearsin data-focused roles with demonstrated partnership across product and technology teams
• Experience delivering acrossmultiple workstreamswith competing timelines and dependencies
• Strong understanding ofproduct/business data and processes; ability to frame data work in terms of customer outcomes and value
• Working knowledge ofdata management, governance, big data platforms, and/or data architecture, includingSQL
• Ability toprioritize, manage ambiguity, and drive work forward in a matrixed organization
• Strong communication skills—able to explain technical concepts to non-technical audiences and align stakeholders on decisions
• Structured, analytical thinker with strong business judgment
• Familiarity withAgiledelivery and iterative development
• Commitment todata quality, protection, and complianceas non-negotiable deliverables