Senior Manager, AI-Driven Finance Data Science

Neobankbeat; Menlo Park, New York (CA, NY); On-site; USD 247,000 - 290,000; Full time

Benefits offered by this job

Health insurance

Equity ownership

401(k) matching

Mental health benefits

Fertility benefits

Life disability insurance

Parental leave

Catered meals

Job summary

Robinhood is seeking a Senior Manager, Finance Strategy Data Science, to lead a high-caliber team in Menlo Park or NYC. You will own the NPS program end-to-end, scale AI-driven competitive intelligence, and apply data science to unit economics and product performance.

This hands-on leader will partner with Finance, Product, and Leadership to drive decisions and impact. You’ll build durable agent infrastructure, supervise a team of scientists and analytics engineers, and ship real work alongside

Qualifications

• Hands-on experience running NPS or large-scale customer survey programs, including survey design and analysis.
• Experience building AI-native infrastructure for analytics and automation.
• Strong business judgment, with finance/strategy exposure and cross-functional collaboration.

Responsibilities

• Own the NPS program end to end, including design, sampling, weighting, and executive reporting.
• Lead AI agents for competitive intelligence and monitor market movements for actionable insights.
• Blend financial and business data to answer high-stakes questions and inform investment decisions.
• Mentor and grow a team of data scientists and analytics engineers; hire and set a high-performance bar.

Skills

NPS programs

AI-native practice

Data science leadership

Competitive analysis

Business judgment

Communication skills

People management

Tools

LLM-assisted classification

Agent frameworks

Evaluation harnesses

Tool integrations

Job description

Robinhood is seeking a Senior Manager, Finance Strategy Data Science, to lead a high-caliber team in Menlo Park or NYC. You will own the NPS program end-to-end, scale AI-driven competitive intelligence, and apply data science to unit economics and product performance.

This hands-on leader will partner with Finance, Product, and Leadership to drive decisions and impact. You’ll build durable agent infrastructure, supervise a team of scientists and analytics engineers, and ship real work alongside