AI-Driven Product Productivity Lead

JPMorganChase; Chicago (IL); On-site; USD 128,000 - 200,000; Full time

Job summary

JPMorganChase in Chicago seeks a Strategic Insights Data Science Lead to shape how AI transforms product development productivity across Product Operations, Experience, Technology, and Data & Analytics teams. You will lead a high-velocity analytics effort to test hypotheses, identify best practices, and translate evidence into actionable steps for senior leaders.

You will guide a team to turn ambiguous productivity questions into decision-ready findings, partnering with executives to implement

Qualifications

• Bachelor’s degree in quantitative field with 5+ years data science/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.

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.

Skills

Data science

Analytical mindset

Problem solving

Python

SQL

Stakeholder influence

Leadership

Education

Bachelor’s degree in quantitative discipline

Tools

Python

SQL

Job description

JPMorganChase in Chicago seeks a Strategic Insights Data Science Lead to shape how AI transforms product development productivity across Product Operations, Experience, Technology, and Data & Analytics teams. You will lead a high-velocity analytics effort to test hypotheses, identify best practices, and translate evidence into actionable steps for senior leaders.

You will guide a team to turn ambiguous productivity questions into decision-ready findings, partnering with executives to implement