JPMorganChase Logo

JPMorganChase

Lead Data Scientist

Posted An Hour Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in OH, USA
Mid level
Remote or Hybrid
Hiring Remotely in OH, USA
Mid level
Leads a team of data scientists developing analytics strategy for consumer banking onboarding and engagement marketing. Designs customer behavior analyses, A/B and incrementality tests, reusable data products, curated datasets, context libraries, and AI agents. Presents recommendations to senior stakeholders and partners with Data & Analytics, Finance, and Marketing leaders. The role combines people leadership with hands-on statistical analysis, SQL, programming, experimentation, and AI-enabled analytics.
The summary above was generated by AI

Vice President – Consumer Bank Marketing Analytics (Onboarding & Engagement)

As the Onboarding & Engagement Analytics Team Lead in Consumer Bank Marketing Analytics, you’ll own the analytics strategy behind onboarding and engagement marketing campaigns and lead a team in turning data into decisions that strengthen long-term customer relationships and optimize multimillion-dollar marketing investments.

Job Responsibilities:

  • Lead a team of three to four data scientists developing and executing the analytics roadmap to drive Onboarding and Engagement marketing strategy while also being a hands-on-contributor.

  • Translate unstructured business questions into rigorous customer behavior analyses.  Identify gaps in how we measure, target, or engage customers today and lead the work to close them

  • Lead A/B and incrementality testing from experimental design through interpretation and recommendation

  • Design and influence the build of reusable data products, including curated data sets, context libraries, and AI agents, that power both analyst-led insights and emerging agentic AI solutions

  • Present findings and recommendations to senior stakeholders

  • Partner with leaders in Data & Analytics, Finance, and Marketing on experimental design and data strategy

 

Required qualifications, capabilities and skills:

  • Master’s degree in quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Engineering, Economics, Finance, or related field), OR equivalent directly applicable experience
  • 2+ years of direct or indirect people management experience, including hiring, training and developing high-performing talent.
  • 4+ years applying statistical methods to real-world problems 
  • 4+ years of SQL experience; proficiency in Python or R; and experience with data visualization tools and techniques.
  • Hands-on experience with AI tools (e.g., GitHub Copilot, Claude Code, Codex) to accelerate day-to-day analytics; experience developing agents 
  • Strong written and verbal communication skills, with experience articulating results to all levels of management.

About Us

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

About the Team
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.

Similar Jobs

7 Days Ago
Remote
United States
143K-179K Annually
Senior level
143K-179K Annually
Senior level
Automotive • Insurance • Machine Learning • Mobile • Software
Lead development and productionization of telematics pricing and underwriting models. Responsibilities span statistical modeling, feature engineering, dataset and pipeline development, model deployment, monitoring, data quality validation, troubleshooting, regulatory support, and collaboration with pricing, actuarial, product, engineering, and compliance teams.
Top Skills: AWSCi/CdCloud ComputingData PipelinesGitMachine LearningPythonSQLStatistical Modeling
8 Days Ago
Remote
United States
Entry level
Entry level
Insurance • Financial Services
Leads data science and reporting initiatives for a commercial insurance organization, including master data management, dashboard and scorecard development, reporting-environment design, data warehouse support, data integrity, normalization, data cleansing, troubleshooting, and end-user training.
Top Skills: Business Intelligence ReportingDashboardsData CleansingData MiningData WarehousingMaster Data Management
12 Days Ago
Remote or Hybrid
133K-200K Annually
Senior level
133K-200K Annually
Senior level
Information Technology • Utilities
Leads data science initiatives by exploring and mining data, developing advanced AI, machine learning, and statistical models, and translating complex findings into strategic business actions. Presents insights to stakeholders and senior leaders, guides solutions from ideation through delivery, coaches less-experienced professionals, and collaborates with business clients to understand needs. The role is hybrid in Columbus, Ohio, with occasional emergency-response support potentially outside normal hours.
Top Skills: SparkArtificial IntelligenceCloud PlatformsMachine LearningNatural Language Processing (Nlp)PythonRSQLStatistical Modeling

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account