Strategic Insights Data Science Lead

Next Frontier Capital; Kentucky; On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Science Lead within the PXT Data and Analytics group to steer high-velocity analyses across product development productivity and AI adoption.

You will translate ambiguous questions into action, partner with cross-functional teams to assign actions and timelines, and track adoption and outcomes. You will develop and manage a high-performing team, set analytical standards, and deliver executive-ready briefs that influence senior leaders while ensuring

Qualifications

• Bachelor’s degree in quantitative discipline with 5+ years of applied data science or analytics experience.
• Experience leading analytical work from framing problems to measurement of outcomes.
• Proficiency in Python, SQL, and handling large datasets.

Responsibilities

• Lead high-velocity, hypothesis-driven analysis of Product Operations and product development productivity.
• Translate questions about operating models and AI adoption into analytical plans and decision criteria.
• Produce decision-ready briefs with findings, recommendations, owners, timelines, benefits, and guardrails.

Skills

Python

SQL

Data analysis

Experiment design

Stakeholder management

Visualization

Education

Bachelor's degree in quantitative field

Master’s degree or PhD preferred

Tools

Big data platforms

Analytics tools

Job description

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

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

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Strategic insights data science lead to improve product development productivity.