Manager of Data Science, Finance & Strategy

Robinhood

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Menlo Park, CA
Salary
$202,000–$238,000 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k
This role $220k
$138k most similar roles pay here $249k

This role pays more than 75% of similar roles. Most pay $162,000–$220,100 — the shaded band above. At the midpoint, this role pays about $220k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About Robinhood

Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App

Robinhood currently has 42 open roles on FindRole.

Listed pay typically runs $196,000–$230,000 across 39 roles with salary data.

Most-posted roles

View all roles at Robinhood

At a glance

TL;DR · Manager of Data Science, Finance & Strategy

As the Manager of Data Science, Finance & Strategy, you will lead a high-performing team of data scientists and analytics engineers within the Finance & Strategy organization. Operating as a player-coach, you will stay hands-on in the code while setting technical direction to translate complex business questions into actionable insights. Your daily responsibilities include overseeing strategic analytics, measurement frameworks, and agentic workflows, while managing the NPS program and broader research portfolios like brand sentiment and benchmarking. You will build scalable data science and AI solutions to optimize business performance and inform executive decision-making. The role requires expert proficiency in SQL, Python, statistical analysis, experimentation, and advanced modeling. You will collaborate across Finance, Product, Engineering, and Operations teams to solve complex problems using predictive models and robust analytics engineering foundations to drive strategic growth.

What you'll do

  • Lead, mentor, and develop a high-performing team of data scientists and analytics engineers as a hands-on player-coach.
  • Translate complex business questions from cross-functional partners into scalable, trustworthy analytics and actionable insights.
  • Manage the end-to-end NPS program including survey design, sampling, driver analysis, and executive reporting.
  • Oversee the broader research portfolio covering safety perception, brand sentiment, benchmarking, and trend tracking.
  • Implement agentic workflows and build shared infrastructure to automate pipelines, QA, and recurring reporting.
  • Manage both sides of the analytics stack by overseeing rigorous data science modeling and the underlying analytics engineering foundation.
  • Represent the team in leadership forums to shape how the company leverages data and AI for strategic decision-making.

What we're looking for

  • 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 for strategic decisions.
  • Strong business judgment with a track record of partnering with cross-functional teams and senior leadership.
  • Excellent communication skills to simplify complex analyses and influence decisions across teams.
  • Experience building and developing high-performing teams of data scientists and analytics engineers.

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