Data Scientist Lead, Vice President - American Dream

JPMorgan Chase & Co.•Columbus, OH

About The Position

As a Lead Data Scientist (VP) supporting the American Dream Initiative (ADI), you will lead high-visibility work that defines how the initiative understands customers, measures progress, and proves impact. You will partner with stakeholders across Product, Marketing, Research, Finance, Technology, and other analytics teams to build foundational customer outcome metrics, including a financial health indicator; develop data-informed customer personas that blend qualitative and quantitative insights; establish automated reporting and OKR/target frameworks; and create robust testing and readout practices to evaluate customer experiences and programs. The role requires strong technical depth, structured problem solving in ambiguous environments, and clear executive-ready communication. Chase is a leading financial services firm whose mission is to create engaged, lifelong relationships and put customers at the heart of its work. The Consumer & Community Banking division serves Chase customers across personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. The CCB Data & Analytics team responsibly uses data across Chase to build competitive advantages while providing value and protection for customers, partnering with Technology on data and analytics infrastructure.

Requirements

  • Master’s degree in a quantitative discipline and 3+ years of experience, or a Bachelor’s degree and 6+ years of experience, in a quantitative field such as Data Science, Mathematics, Statistics, Physics, Engineering, Economics, or Finance.
  • Six years of experience managing and analyzing large-scale data using SQL.
  • Six years of experience using Python, R, or similar languages for data analysis and modeling.
  • Six years of experience with data visualization tools such as Tableau or Power BI.
  • Demonstrated expertise in experimental design, A/B testing, and statistical analysis.
  • Proven track record of leading cross-functional projects and delivering actionable insights that drive business outcomes.
  • Strong communication and storytelling skills, with the ability to influence stakeholders at all levels.
  • Experience enhancing data collection, processing, and validation procedures.
  • Ability to organize, prioritize, and manage multiple projects in a fast-paced environment.
  • Commitment to continuous learning and professional development.

Nice To Haves

  • Experience in financial services, consumer banking, or related industries.
  • Strategic, data-led approach focused on business goals.
  • Ability to work in a fast-paced, collaborative environment with stakeholders across locations.
  • Proven track record of leading a book of work that delivers actionable insights and drives business outcomes.
  • Intellectual curiosity and eagerness to learn new skills.
  • Collaborative team-player approach in a dynamic, innovative environment.
  • Knowledge of statistical modelling and simulation.

Responsibilities

  • Lead development of ADI measurement strategies, including a financial health indicator and scalable, decision-ready customer outcome and engagement metrics.
  • Drive cross-firm data discovery and integration by identifying sources, aligning definitions, resolving gaps, and coordinating with partner teams.
  • Establish and own metric governance and automated reporting, including KPI/OKR frameworks, target-setting support, dashboards or scorecards, and quality controls.
  • Develop customer personas and segments by integrating qualitative customer research with quantitative behavioral, product, and engagement data, and translate findings into actionable narratives and opportunities.
  • Build and operationalize a testing and impact measurement framework for ADI experiences and programs, including experiment design, readouts, and recommendations for future iterations.
  • Execute complex analyses and models using SQL and Python in big-data environments to inform targeting, personalization, and customer engagement strategy.
  • Communicate clearly with senior stakeholders and mentor team members.
  • Ensure work aligns with business goals, compliance requirements, and responsible analytics and model risk practices.

Benefits

  • Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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