Enterprise AI: Unstructured Data Product Owner

Aumni; Jersey City (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

Chase is seeking a Product Owner for the Consumer & Community Banking Data & Analytics Unstructured Data Products team. You will define strategy for unstructured data products and partner with leadership to deliver value across CCB, turning ambiguous opportunities into scalable data products that enable enterprise AI.

Responsibilities include shaping roadmaps, building cross‑functional coalitions, and delivering governance‑compliant solutions while measuring adoption and business value.

Qualifications

• 7+ years of product management or related experience.
• Ability to turn ambiguous problems into clear roadmaps and measurable outcomes.
• Strong communication skills for technical and non-technical audiences.
• Proven ability to influence senior stakeholders across biz, data, tech, risk.

Responsibilities

• Define strategy, vision, roadmap, and priorities for unstructured data products across CCB.
• Partner with business leaders to identify high-value opportunities and turn them into governed data products.
• Build coalitions across business, product, data, technology, risk, and control teams.
• Lead discovery to translate challenges into actionable product concepts and plans.
• Develop executive narratives and business cases to secure stakeholder support.
• Guide teams in publishing, discovering, and consuming AI-ready unstructured data.
• Lead lighthouse products, measure adoption and value, scale reuse across CCB.
• Ensure governance, privacy, compliance, records management, and risk controls.

Skills

Product management

Strategy

Executive communication

Stakeholder management

Data governance

Education

Master's degree

Job description

Chase is seeking a Product Owner for the Consumer & Community Banking Data & Analytics Unstructured Data Products team. You will define strategy for unstructured data products and partner with leadership to deliver value across CCB, turning ambiguous opportunities into scalable data products that enable enterprise AI.

Responsibilities include shaping roadmaps, building cross‑functional coalitions, and delivering governance‑compliant solutions while measuring adoption and business value.