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.
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the TeamSimilar Jobs
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
