Director, Product Analytics

This is a Product Data Science leadership role at Fin, a fast-moving, ambiguous, B2B AI-native product company. The role is less about owning a neat experimentation roadmap and more about helping shape direction in an environment where product bets are evolving quickly, the operating model is constantly changing, and decisions often need to be made before the data is complete.

What you'll do

• Help product and company leaders make better decisions on where Fin should focus
• Bring structure and judgment to ambiguous product, customer, and performance questions
• Identify what is and is not working in the product, and where intervention is most needed
• Shape early product direction, especially in zero-to-one and fast-evolving areas
• Define a vision for what product data science should look like in an AI-native product organization
• Partner across product, engineering, design, research, sales, and leadership to connect product signals with customer and commercial outcomes
• Help design the operating model for product data science in Fin, including interfaces with analytics engineering, research, and go-to-market teams
• Coach and raise the bar for product data science work through prioritization, judgment, and leadership presence

What you'll need

• Strong product data science leadership experience in complex product environments
• Track record of shaping strategy, not just supporting execution
• Comfort operating in ambiguity and making high-quality judgment calls with imperfect data
• Ability to influence senior stakeholders and challenge constructively when needed
• Strong analytical depth and technical skills
• A strong point of view on what product data science should look like in an AI-native company
• Experience evolving team shape and capability mix in response to changing product and organizational needs