Product Owner - Unstructured Data & AI
About The Position
The Product Owner will define the strategy for unstructured data products within the Consumer & Community Banking (CCB) Data & Analytics Unstructured Data Products team. The role focuses on unlocking the value of documents, conversations, images, audio, video, and other multimodal data by turning them into trusted, governed, reusable enterprise assets that support analytics, AI, and business outcomes. The Product Owner will develop partnerships across CCB, provide strategic direction in an emerging field, align stakeholders, and convert ambiguous opportunities into scalable products that prepare the organization for an AI-enabled future. The role also guides multidisciplinary teams, leads product discovery and pilots, measures adoption and value, and ensures products and operating models meet applicable governance, privacy, compliance, records management, risk, and control requirements.
Requirements
- 7+ years of experience in product management, strategy, consulting, data, technology transformation, data science, or a related field.
- Ability to turn ambiguous, complex problems into clear strategies, actionable roadmaps, and measurable outcomes.
- Strategic thinking and product leadership skills, including opportunity discovery, prioritization, experimentation, delivery, adoption, and value measurement.
- Executive communication and storytelling skills, including the ability to simplify complex topics and build support among technical and non-technical audiences.
- 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, including translating 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 their effects on AI-enabled experiences.
Nice To Haves
- 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.
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 executive narratives, business cases, and demonstrations to 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.
Benefits
- Competitive total rewards package, including base salary; eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
