Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations. As a Product Owner, you will envision and build raw, trusted and refined data models that integrate internal and external product feature data. You will drive the strategy and execution for data products that support advanced analytics and generative AI use cases. This role operates at the intersection of business and technology, ensuring data models are robust, scalable, and aligned with organizational goals. You will collaborate with cross-functional teams to deliver innovative solutions that enable secure, efficient, and insightful data utilization.

As a Senior Associate Product Owner - Data Modeling in Customer Identity & Authentication team, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success.

The Product Owner is responsible for shaping the future of data products by designing and delivering raw, trusted and refined data models. You will lead initiatives to capture, structure, and enhance product feature data from both internal and external sources. As a key member of the team, you will ensure these models are optimized for analytical and AI-driven applications, supporting business objectives and regulatory requirements.

Job responsibilities

• Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery.

• Considers and plans for upstream and downstream implications of new product features on the overall product experience.

• Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers.

• Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle.

• Writes the requirements, epics, and user stories to support product development.

• Envision, design, and build raw, trusted and refined data models that incorporate internal and external product feature data.

• Define and document business requirements for data model initiatives, ensuring alignment with data governance and compliance standards.

• Collaborate with technology, architecture, analytics, data owners and data science teams to deliver scalable data solutions.

• Prioritize and manage the product backlog, working in Agile environments to drive discovery and development.

• Map current and legacy systems, and design future-state architectures that support analytics and generative AI. Ensure data models are validated for accuracy, reliability, and usability in analytical and AI contexts.

• Engage with stakeholders across business, technology, and external partners to gather requirements and feedback. Continuously monitor industry trends and emerging technologies to inform product strategy and roadmap.

Required qualifications, capabilities, and skills

• 3+ years of experience or equivalent expertise in product management or a relevant domain area

• Proficient knowledge of the product development life cycle

• Experience in product life cycle activities including discovery and requirements definition

• Developing knowledge of data analytics and data literacy

• 3+ years of experience in product ownership, data product management, or a related domain.

• Proven ability to design and deliver data models for analytical and AI-driven applications.

• Strong understanding of data governance, compliance, and regulatory requirements.

• Experience with data modeling, data architecture, and cloud-based data platforms (AWS, Hadoop, Kafka, Cassandra).

• Proficiency in SQL and data analysis tools.

• Ability to translate business needs into technical requirements and actionable solutions.

• Excellent communication and stakeholder management skills. Experience working in cross-functional, matrixed organizations.

Preferred qualifications, capabilities, and skills

• Advanced knowledge of AI/ML technologies and generative AI applications.

• Experience with external data integration and feature engineering.

• Familiarity with product development lifecycle and Agile methodologies.

• Ability to understand and review code (Java, Python) is a plus.

• Experience with data visualization and dashboarding tools.

• Demonstrated ability to drive innovation and continuous improvement in data products.

• Good analytical and problem-solving skills.

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