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
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Lead high-velocity, hypothesis-driven analysis of Product Operations and product development productivity
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Turn ambiguous questions about operating models, workflows, and AI adoption into focused analytical plans and decision criteria
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Assess how AI tools and ways of working affect delivery speed, quality, capacity, and value
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Combine product, delivery, and AI adoption data with stakeholder context to identify actionable opportunities
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Produce decision-ready briefs with clear findings, recommendations, owners, timelines, benefits, and guardrails
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Partner across Product Operations, Product, Technology, and Finance to implement recommendations and track adoption and outcomes
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Set standards for analytical quality, productivity measurement, executive communication, and responsible use of data and AI
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Develop and manage a high-performing team and influence senior leaders with clear, practical insights
Required qualifications, capabilities and skills
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Bachelor’s degree in quantitative discipline and 5+ years of applied data science or analytics experience
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Experience leading analytical work from problem framing through implementation and outcome measurement
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Strong hypothesis development, experimental design, quantitative analysis, synthesis, and problem-solving skills
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Proficiency with Python, SQL, large datasets, modern analytics platforms, and visualization tools
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Understanding of product development workflows and productivity metrics, including cycle time, throughput, quality, capacity, and adoption
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Ability to work at pace in ambiguous environments, balancing analytical rigor with practical decision-making
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Proven ability to influence senior stakeholders, lead analytical talent, and translate complex findings into clear actions and measurable outcomes
Preferred qualifications, capabilities and skills
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Experience building or leading a consulting-style strategic analytics or insights team
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Experience in product operations, product management, technology delivery, organizational effectiveness, or financial services
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Experience evaluating operating-model changes, workflow redesign, or enterprise productivity initiatives
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Experience with experimentation, causal inference, forecasting, optimization, machine learning, or natural language processing
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Experience evaluating or deploying Generative AI and agentic tools in operational workflows, including adoption, telemetry, quality, risk, cost, and value realization
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Familiarity with product development lifecycle data and tools used to manage requirements, backlogs, dependencies, code, testing, and delivery
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Demonstrated success creating executive briefs and operating mechanisms that drive decisions, ownership, adoption, and follow-through
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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 TeamSkills Required
- Bachelor's degree in a quantitative discipline
- 5+ years of applied data science or analytics experience
- Experience leading analytical work from problem framing through implementation and outcome measurement
- Hypothesis development, experimental design, quantitative analysis, synthesis, and problem-solving skills
- Proficiency with Python, SQL, large datasets, analytics platforms, and visualization tools
- Understanding of product development workflows and productivity metrics
- Ability to work effectively in ambiguous, fast-paced environments
- Ability to influence senior stakeholders and lead analytical talent
- 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
- Familiarity with product development lifecycle data and related management tools
- Success creating executive briefs and operating mechanisms that drive decisions and adoption
- Master's degree, MBA, PhD, or equivalent advanced degree
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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