Product Owner - Unstructured Data & AI

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Product Owner for the Consumer & Community Banking Data & Analytics Unstructured Data Products team in New York.

You will define strategy and roadmaps for AI-ready data products, partnering with business leaders and data owners to create governed, reusable assets that unlock enterprise value. You will lead cross-functional efforts, translate complex challenges into actionable plans, and build executive narratives to secure buy-in while ensuring privacy and compliance

Qualifications

• 7+ years of experience in product management, strategy, or related fields.
• Strong ability to turn ambiguous problems into clear strategies and roadmaps.
• Excellent executive communication and storytelling to align stakeholders.

Responsibilities

• Define strategy, vision, and roadmap for unstructured data products across CCB.
• Identify high-value opportunities with business leaders and data owners.
• Build coalitions across business, product, data, tech, risk, and control teams.
• Translate ambiguous challenges into clear product concepts and plans.
• Develop executive narratives and business cases to secure stakeholder support.
• Guide teams in implementing scalable data publishing, discovery, and consumption capabilities for AI-ready data.
• Lead lighthouse products and pilots, measure adoption and value, drive reuse.
• Ensure governance, privacy, compliance, and records management requirements are met.

Skills

PM experience

Strategic thinking

Executive storytelling

Stakeholder influence

AI / unstructured data fluency

Unstructured data pipelines

Education

Master's degree in business / CS / information science / data science

Job description

Join the Consumer & Community Banking Data & Analytics Unstructured Data Products team and unlock the value of documents, conversations, images, audio, video, and other multimodal data for analytics and AI. Our mission is to turn unstructured data into trusted, governed, and reusable enterprise assets that enable meaningful business outcomes and prepare Consumer & Community Banking for an AI-enabled future.

As a Product Owner in the Consumer & Community Banking (CCB) Data & Analytics Unstructured Data Product team, you will define the strategy for unstructured data products and build the partnerships needed to deliver value across Consumer & Community Banking. You will bring clarity, vision, and strategic direction to an emerging field, aligning diverse stakeholders and turning ambiguous opportunities into scalable data products that enable enterprise AI.

Job Responsibilities

• Define and champion the strategy, vision, roadmap, and priorities for unstructured data products across CCB.
• Partner with business leaders and Data Owners to identify high-value opportunities and turn them into governed, reusable data products.
• Build coalitions across business, product, data, technology, risk, and control teams to move opportunities from concept through adoption.
• Lead consultative discovery, translating ambiguous business challenges into clear product concepts, value propositions, and actionable plans.
• Develop compelling executive narratives, business cases, and demonstrations that establish urgency and secure stakeholder support.
• Guide multidisciplinary teams in building scalable capabilities and standards for publishing, discovering, and consuming AI-ready unstructured data.
• Lead lighthouse products and pilots, measure adoption and business value, and apply learnings to accelerate reuse across CCB.
• Ensure products and operating models meet applicable governance, privacy, compliance, records management, risk, and control requirements.

Required Qualifications, Capabilities, and Skills

• 7+ years of experience in product management, strategy, consulting, data, technology transformation, data science, or a related field.
• Demonstrated ability to turn ambiguous, complex problems into clear strategies, actionable roadmaps, and measurable outcomes.
• Strong strategic thinking and product leadership skills, including opportunity discovery, prioritization, experimentation, delivery, adoption, and value measurement.
• Exceptional executive communication and storytelling skills, with the ability to simplify complex topics and build support among technical and non-technical audiences.
• Proven ability to build trusted relationships, influence without authority, and align senior stakeholders across business, data, technology, risk, and control organizations.
• Technical fluency in unstructured data and AI, with the ability to translate emerging capabilities, constraints, and governance requirements into practical product decisions.
• Working knowledge of unstructured data pipelines, data product interfaces, metadata, taxonomy, search, retrieval, chunking, indexing, evaluation, and governance, including how these capabilities affect AI-enabled experiences.

Preferred Qualifications, Capabilities, and Skills

• Experience in consulting, financial services, enterprise data, or technology industries.
• Master's degree in business, computer science, information science, data science, or a related discipline.
• Experience using AI productivity tools, connectors, agent skills, workflow automation, or context-curation techniques to improve organizational effectiveness.