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 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 — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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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