Head of AI/Data Science, Finance & Strategy
Robinhood· Corporate Strategy
Menlo Park, CA$247k - $290kFull-timePosted 4w ago
About the role
Lead and develop the Finance & Strategy Data Science team to deliver AI-powered analytics, measurement, and scalable data solutions that drive faster, more predictive decision-making across Robinhood’s Finance & Strategy organization.
Responsibilities
- Own Robinhood’s NPS program end to end: survey design, sampling and weighting methodology, fielding cadence, data quality, key driver analysis, and executive reporting
- Own the broader survey and research portfolio, including safety perception research, brand and product sentiment studies, benchmarking and trend tracking, and ad hoc voice-of-customer work
- Analyze open-text and responses at scale, including with LLM-assisted classification, while keeping methodology defensible
- Partner with Product, Research, Operations, Marketing, and Brokerage leadership to close the loop from survey signal to product and policy change
- Make agentic workflows the default operating model for the team. Design how analysis, pipeline development, QA, documentation, and recurring reporting get delegated to agents, and hold the team accountable to that standard
- Build durable agent infrastructure rather than one-off prompts: reusable skills, context files, MCP tool integrations, evaluation harnesses, and guardrails that make agent output trustworthy enough for finance-grade and research-grade decisions
- Lead both sides of the analytics stack: rigorous data science (measurement, experimentation, modeling) and the analytics engineering foundation (pipelines, tooling, data models) that agents and humans build on
- Lead, mentor, and develop a team of data scientists and engineers; operate as a player-coach who stays hands-on in the terminal and in the code and ships real work alongside the team
- Foster a culture of technical excellence, strong business judgment, methodological rigor, and clear accountability
- Partner closely with Finance, Product, Engineering, Operations, and other key departments 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
Qualifications
- 7+ years of experience in data science, analytics, or related fields, including 2+ years of people management experience
- Daily, hands-on fluency with Claude Code and modern AI coding tools, with a track record of building reusable agent infrastructure (skills, context files, tool integrations, evaluation harnesses) rather than one-off prompts
- 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
Skills
Required:Data science leadershipSQLPythonStatistical analysis and experimentationCommunication and stakeholder management
Nice to have:LLM-assisted data analysis
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
Last updated Oct 21, 2026. Interested? Apply on the company site.
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