Lead Data Scientist

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.