Director, Product Analytics

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.

The Director, Product Analytics role is a highly consultative, influence-heavy leadership position that sits at the intersection of product strategy, product analytics, customer outcomes, go-to-market signals, technical feasibility, and organisational design.

Key Responsibilities:

• 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 where product data science should engage deeply versus where lighter support is sufficient
• Define a vision for what product data science should look like in an AI-native product organisation
• Shape how AI is used in analysis, insight generation, and decision support, while maintaining a high bar for rigor and judgment
• Improve visibility into product performance, opportunity size, and business impact
• Partner across product, engineering, design, research, sales, and leadership to connect product signals with customer and commercial outcomes
• Build trust with senior stakeholders and challenge weak logic or fuzzy thinking when needed
• Help design the operating model for product data science in Fin, including interfaces with analytics engineering, research, and go-to-market teams
• Ensure the function builds the right foundations for evaluating and improving zero-to-one AI products
• Coach and raise the bar for product data science work through prioritisation, judgment, and leadership presence
• Ensure scarce data science capacity is focused on the most important problems, not just the loudest requests

Requirements:

• 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 organisational needs
• Ability to distinguish when the work calls for builder-type data scientists, research-oriented profiles, or deeper statistical specialisation
• Strong judgment on how AI should and should not be used in analytical and data science work
• Excellent prioritisation instincts and ability to identify high-leverage work
• Experience working across product, engineering, design, research, and commercial stakeholders
• Ability to translate across functions and connect product decisions to customer and business outcomes
• Strong leadership presence: credibility, judgment, communication, and follow-through
• Experience building or evolving operating models, team scope, or cross-functional ways of working
• Ideally, experience in AI-native, SaaS, or fast-moving B2B product contexts

Benefits:

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too
• MacBooks are our standard, but we also offer Windows for certain roles when needed