Vice President Data Scientist Lead - Customer Analytics

JPMorgan Chase & Co.•Columbus, OH

About The Position

Join the Affluent, Core, and Emerging (ACE) Analytics team as a Lead Data Scientist, where your expertise will drive innovation and measurable impact for our customers and business. You’ll collaborate with talented colleagues, leverage cutting-edge data and analytics tools, and lead high-visibility projects that shape the future of Consumer Banking. We value your curiosity, leadership, and passion for learning, offering you opportunities to expand your skills and advance your career. Be part of a diverse, empowered community where your insights and influence matter. As a Data Scientist Lead within the Consumer Community Banking ACE team, you will lead the design, testing, and measurement of strategies across marketing, sales, distribution, pricing, and customer analytics. You will apply advanced analytics, experimental design, and machine learning to solve complex business challenges, ensuring your work directly influences both customer experience and business outcomes. In this role, you’ll partner with cross-functional teams, mentor colleagues, and drive a culture of innovation and continuous improvement. Your leadership will help deliver value and protection for our customers, while supporting your own professional growth and mobility.

Requirements

Bachelor’s degree with 6+ years of experience or a Master’s degree in a quantitative field such as Data Science, Mathematics, Statistics, Physics, Engineering, Economics, or Finance
6 + years of experience managing and analyzing large-scale data using SQL
6 + years of experience with Python or similar languages for data analysis and modeling
6 + years of experience with data visualization tools such as Tableau or PowerBI
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

Bring experience in financial services, consumer banking, or related industries
Think strategically with a data-led approach focused on business goals
Demonstrate ability to work in a fast-paced, collaborative environment with stakeholders across locations
Show a proven track record of leading a book of work that delivers actionable insights that drive business outcomes
Display intellectual curiosity and eagerness to learn new skills
Thrive as a collaborative team player in a dynamic, innovative environment
Knowledge of Statistical Modelling and Simulation

Responsibilities

Lead the design and execution of complex analyses and experiments to drive business change in product performance, client engagement, attrition, and customer segmentation
Develop and implement robust Monitoring and measurement frameworks (e.g., A/B testing, experimental design) to evaluate business strategies and initiatives
Partner with product, finance, technology, and cross-functional teams to deliver high-impact, data-driven projects and solutions
Translate ambiguous business challenges into structured, data-driven problems and actionable insights
Present clear, compelling findings and recommendations to senior executives and stakeholders, influencing strategic decisions
Manage and analyze large-scale data using advanced SQL, Python, R, or similar tools in big data environments (e.g., Snowflake, Hive, Spark)
Enhance data collection, processing, and validation procedures to ensure data integrity and reliability
Apply advanced statistical analysis, machine learning, and optimization techniques to solve business problems
Mentor and guide team members on data science best practices, experimental design, and analytics methodologies
Continuously develop and share expertise in data visualization, storytelling, and communication to drive business impact
Ensure all analyses and recommendations align with business goals, compliance standards, and industry best practices