Manager of Data Science, Finance & Strategy
Menlo Park · 2+ years experience · Posted Sep 22, 2026
At a glance
- Experience
- 2+ years experience
- Location
- Menlo Park
About the role
- As the Data Science Manager for Finance & Strategy, you will lead and develop a high-performing team of data scientists and analytics engineers.
- You will set the team's technical direction and priorities while partnering with leaders across Robinhood to turn complex business questions into actionable insights.
- This role combines strong people leadership, technical depth, and business judgment to identify high-impact opportunities and elevate analytics across Robinhood.
Responsibilities
- Lead, mentor, and develop a high-performing team of data scientists and analytics engineers; operate as a player-coach who stays hands-on in the code and ships real work alongside the team
- Foster a culture of technical excellence, strong business judgment, experimentation, and clear accountability across the team
- Lead Robinhood's NPS program end to end: survey design, sampling and weighting, key driver analysis, verbatim analysis, and executive reporting
- Oversee the broader survey and research portfolio, including safety perception, brand/product sentiment, benchmarking, and trend tracking
- Make agentic workflows the default operating model and build durable shared infrastructure so the team can delegate analysis, pipelines, QA, and recurring reporting to agents
- Drive both sides of the analytics stack: rigorous data science (measurement, experimentation, modeling) and the analytics engineering foundation (pipelines, tooling, data models)
- Partner closely with Finance, Product, Engineering, Operations, and other cross-functional teams to translate complex business questions into scalable, trustworthy analytics
- Represent Finance & Strategy Data Science in leadership forums and help shape how Robinhood leverages data and AI for strategic decision-making
Requirements
- 7+ years of experience in data science, analytics, or related fields
- 2+ years of people management experience
- Strong technical expertise in SQL, Python, statistical analysis, experimentation, and advanced analytics
- Proven ability to translate complex business questions into rigorous analyses, actionable insights, and scalable data solutions
- Experience developing measurement frameworks, predictive models, benchmarking, and other analytical approaches that inform business and strategic decisions
- Strong business judgment with a track record of partnering with Finance, Product, Engineering, Operations, and senior leadership
- Excellent communication skills, with the ability to simplify complex analyses, influence decisions, and build alignment across teams
- Experience building and developing high-performing teams of data scientists and analytics engineers
Benefits
- Market competitive and pay equity-focused compensation structure
- 100% paid health insurance for employees with 90% coverage for dependents
- Annual lifestyle wallet for personal wellness, learning and development, and more
- Lifetime maximum benefit for family forming and fertility benefits
- Dedicated mental health support for employees and eligible dependents
- Generous time away including company holidays, paid time off, sick time, parental leave, and more
- Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
- Bonus opportunities and equity
Workplace
- In-person attendance expected 5 days per week in the Menlo Park, CA office
Skills
- SQL
- Python
- Statistical Analysis
- Experimentation
- Advanced Analytics
- Predictive Models
- Survey Design
- Data Science
- Analytics Engineering
