Senior Manager, Finance & Strategy Data Science

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

The Finance & Strategy Data Science team is the technical engine inside Robinhood's Finance & Strategy organization. We turn customer voice and competitive signal into the insights leadership uses to decide where Robinhood goes next. Our work spans three areas: Robinhood's Net Promoter Score (NPS) program, AI-driven competitive intelligence, and data science for the broader business. We are an AI-first team. We build and run AI agents that monitor the competitive landscape and surface what matters, and we hold ourselves to the standard that agents do the repeatable work so people can do the thinking. Our work has direct visibility with Robinhood's executive leadership, and it shapes how the company operates.

As the Senior Manager, Finance & Strategy Data Science, you will lead and grow a high-caliber team while staying hands-on as a player-coach. You will own the NPS program end to end, from survey design and statistical methodology to the answers leadership asks for. You will scale our competitive intelligence agents into a durable, trusted system. You will also open up a new frontier for the team: applying data science and AI to unit economics and performance across Robinhood's product lines. The right leader is deeply analytical, AI-native, comfortable in finance, and able to turn complex data into clear, concise answers for senior leaders.

This role is based in our New York City or Menlo Park office, with in-person attendance expected 5 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

• →Own Robinhood's NPS program end to end: survey design, sampling and weighting methodology, partnership with third-party research vendors, data quality, statistical analysis, key driver analysis, and executive reporting
• →Run competitive NPS and benchmarking studies that show whether a customer perception is specific to Robinhood or an industry-wide trend, and translate the findings into clear recommendations for product and business leaders
• →Build and scale AI agents for competitive intelligence that monitor competitor launches, promotions, and market movements and report back with insights the business can act on
• →Analyze open-text customer feedback at scale, including with LLM-assisted classification, while keeping methodology rigorous and defensible
• →Serve as the data science partner for the Finance organization: blend financial and business data to answer high-stakes questions, and apply an AI lens to unit economics and product performance to inform where Robinhood should invest more or less
• →Make agentic workflows the default operating model for the team: build durable agent infrastructure (reusable skills, context files, tool integrations, evaluation harnesses, and guardrails) that makes agent output trustworthy enough for finance-grade decisions
• →Lead, mentor, and develop a team of data scientists and analytics engineers; hire into open roles and set a high bar as the team grows
• →Operate as a player-coach who stays hands-on in the data and the code, shipping real work alongside the team
• →Partner with Finance, Product, Research, Marketing, Operations, and senior leadership, and present findings in executive forums with clarity and concision

• Hands-on experience running NPS or large-scale customer survey programs, including survey design, sampling, statistical analysis, and turning results into decisions
• A strong, daily AI-native practice: you use modern AI coding tools and agent frameworks, and you have built reusable agent infrastructure (skills, tool integrations, evaluation harnesses) rather than one-off prompts
• 7+ years of experience in data science, analytics, or a related field, including 2+ years of people management
• Experience with competitive analysis, benchmarking, or market intelligence, and with building measurement frameworks that inform strategic decisions
• Strong business judgment and comfort working inside a Finance or Strategy environment alongside Product and Engineering partners
• Excellent communication skills: you can simplify complex analyses, give concise answers to senior leaders, and influence decisions across teams
• Experience building and developing high-performing teams of data scientists and analytics engineers
• Background in consulting, SaaS, or a finance/strategy team is a plus

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.