Data Science Manager, Product Analytics

Fora (Interview Calendar)•New York, NY

2d•Onsite

About The Position

Fora is building out its Data Science & Analytics team, and we're looking for a manager to lead our Product Data Science pillar. Fora operates a dynamic, three-sided marketplace connecting clients, advisors, and suppliers — and the product surface spans everything from our core booking platform to advisory enablement tools to new, AI-powered experiences. This is a rare chance to build a product data science function from the ground up. You'll lead a small team of data scientists partnering with our Core Product teams, and you'll own how product decisions get made — what we measure, how we experiment, and how insights translate into product features and roadmaps. We are looking for a player-coach — someone who is able to manage senior individual contributors while getting their hands dirty themselves.

Requirements

7+ years in data science or analytics, including 2+ years managing data scientists or analysts. Experience at consumer or marketplace companies preferred.
Track record of building or scaling a product analytics function, not just running one.
Deep experimentation expertise — you've set the standards, not just run the tests.
Hands-on technical depth: advanced SQL, and proficiency in Python or another scripting language.
Experience with a modern cloud data stack (e.g. Airbyte, BigQuery, dbt, Hex, Omni, or equivalents) and data modeling best practices.
Experience using LLM tools (e.g. Claude Code, Cursor, OpenAI Codex) to accelerate analysis and prototyping.
A track record of hiring and developing strong data people.
Strong communication and storytelling skills, including with senior stakeholders.
Pragmatic. Looking for real world business impact, not a science project.

Responsibilities

Lead and grow the Product Data Science pillar. Hire, coach, and develop a team of data scientists partnering with Core Product
Set the pillar's objectives and priorities in partnership with product leadership, and own delivery against them
Own the experimentation and measurement standards for Fora's product organization, and raise the bar on rigor
Partner with Product, Engineering, and Design leadership to shape roadmap prioritization and define what success looks like before we ship
Review analyses, unblock hard problems, and set the standard for quality on the team
Help shape the broader Data Science & Analytics function