Data Owner Sr. Associate

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 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

About the Team

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.