We have an exciting and rewarding opportunity for you to take your career to the next level.
As a Data Product Owner Lead, within the Card Data & Analytics organization, you will lead the strategy and delivery of making the firm's data ready and well-contextualized for AI and machine learning use and bring deep understanding of data platform engineering, analytics engineering, and the AI landscape to shape how our data is structured, governed, and positioned so that AI/ML solutions can consume it safely and effectively.
Job responsibilities:
- Lead the strategy for contextualizing and preparing data for AI/ML consumption, ensuring firm data is trustworthy, well-modeled, discoverable, and AI-ready.
- Serve as the connective partner between data platform engineering, analytics engineering, and AI/ML teams, translating business problems into well-defined, governed data products.
- Set standards and drive accountability for data quality, lineage, documentation, and readiness so downstream AI/ML use cases consume accurate, well-understood data.
- Partner with Product to shape roadmaps, prioritize data investments, and ensure AI-enabling work maps to measurable business value.
- Drive execution across multiple stakeholders and teams, bringing structure, planning, and discipline to complex initiatives with firm deadlines.
- Communicate clearly and influence across technical and executive audiences, translating between engineering detail and business outcomes.
- Champion data governance, privacy, and risk controls appropriate to a regulated banking environment.
Required qualifications, capabilities, and skills:
- Strong working knowledge of data platform engineering and analytics engineering concepts, including data modeling, pipelines, and modern data warehousing.
- Demonstrated fluency in the AI/ML space — a clear understanding of how AI/ML systems consume data, the role of context and metadata, and how data readiness drives outcomes.
- Proven ability to lead complex, cross-functional initiatives and hold teams accountable to timelines.
- Exceptional organizational skills and the ability to bring structure to ambiguous, fast-moving work.
- Strong communication and executive presence, with the ability to influence across engineering, product, and business partners.
- Solid product acumen and understanding of how data and AI work ladders up to business outcomes.
Preferred qualifications, capabilities, and skills:
- Experience in financial services or another highly regulated industry.
- Familiarity with modern AI enablement patterns such as retrieval, semantic/metadata layers, and grounding data for AI use.
- Experience partnering with data governance, risk, and controls functions.
About UsChase 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 TeamJPMorganChase New York, New York, USA Office


270 Park Avenue, New York, NY, United States, 10017-2014
JPMorganChase New York, New York, USA Office
4 Metrotech Center, New York, NY, United States, 11201
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory




