Strategic Insights Data Science Lead

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 finan...