Job Description
Help shape how Chase improves product development productivity as AI transforms the way Product, Experience, Technology, and Data & Analytics teams work. You will lead a Strategic Insights team that rapidly tests hypotheses, identifies effective operating practices and AI-enabled workflows, and translates evidence into clear actions for Product Operations and Finance leaders.
As a Data Science Lead within Product, Experience, and Technology (PXT) Data and Analytics at JPMorganChase, you will lead high-velocity analysis of operating-model changes, product practices, and AI tools across the product development lifecycle. You will turn ambiguous productivity questions into decision-ready findings and recommendations, partner with execution teams to assign actions and timelines, and track adoption and outcomes.
Job responsibilities
Lead high-velocity, hypothesis-driven analysis of Product Operations and product development productivity
Turn ambiguous questions about operating models, workflows, and AI adoption into focused analytical plans and decision criteria
Assess how AI tools and ways of working affect delivery speed, quality, capacity, and value
Combine product, delivery, and AI adoption data with stakeholder context to identify actionable opportunities
Produce decision-ready briefs with clear findings, recommendations, owners, timelines, benefits, and guardrails
Partner across Product Operations, Product, Technology, and Finance to implement recommendations and track adoption and outcomes
Set standards for analytical quality, productivity measurement, executive communication, and responsible use of data and AI
Develop and manage a high-performing team and influence senior leaders with clear, practical insights
Required qualifications, capabilities and skills
Bachelor’s degree in quantitative discipline and 5+ years of applied data science or analytics experience
Experience leading analytical work from problem framing through implementation and outcome measurement
Strong hypothesis development, experimental design, quantitative analysis, synthesis, and problem-solving skills
Proficiency with Python, SQL, large datasets, modern analytics platforms, and visualization tools
Understanding of product development workflows and productivity metrics, including cycle time, throughput, quality, capacity, and adoption
Ability to work at pace in ambiguous environments, balancing analytical rigor with practical decision-making
Proven ability to influence senior stakeholders, lead analytical talent, and translate complex findings into clear actions and measurable outcomes
Preferred qualifications, capabilities and skills
Experience building or leading a consulting-style strategic analytics or insights team
Experience in product operations, product management, technology delivery, organizational effectiveness, or financial services
Experience evaluating operating-model changes, workflow redesign, or enterprise productivity initiatives
Experience with experimentation, causal inference, forecasting, optimization, machine learning, or natural language processing
Experience evaluating or deploying Generative AI and agentic tools in operational workflows, including adoption, telemetry, quality, risk, cost, and value realization
Familiarity with product development lifecycle data and tools used to manage requirements, backlogs, dependencies, code, testing, and delivery
Demonstrated success creating executive briefs and operating mechanisms that drive decisions, ownership, adoption, and follow-through
Master’s degree, MBA, PhD, or equivalent advanced degree
About Us
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 Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering



