Director, Product Analytics

This leadership position guides product analytics in an AI-native B2B SaaS environment, emphasizing strategic influence over traditional experimentation frameworks. Also referred to internally as "Product Data Science Leader, Fin."

Key Responsibilities

• Support leaders in prioritizing Fin's strategic focus areas.
• Analyze ambiguous product questions with structured data-driven insights.
• Identify product performance gaps and intervention opportunities.
• Influence zero-to-one product direction in evolving areas.
• Define engagement depth for product data science initiatives.
• Architect AI-enhanced analytical methodologies while maintaining rigor standards.
• Enhance visibility into product performance and business impact.
• Collaborate across product, engineering, design, research, and sales functions.
• Challenge weak reasoning while building stakeholder trust.
• Design operating models for product data science functions.
• Coach teams and prioritize high-impact analytical work.

Required Qualifications

• Leadership experience navigating complex product landscapes.
• Demonstrated ability shaping organizational strategy.
• Comfort with ambiguity and sound judgment under incomplete information.
• Senior stakeholder influence capabilities.
• Strong analytical and technical competencies.
• A clear viewpoint on AI-native product data science practices.
• Experience evolving team composition and capabilities.
• Discernment regarding data scientist specialization needs.
• Judgment on responsible AI application in analytics.
• Cross-functional translation and stakeholder management skills.
• Strong credibility and communication presence.
• Operating model design or evolution experience.
• Ideally, AI-native or fast-moving SaaS background.

Benefits include competitive salary, equity, pension matching up to 4%, health/dental insurance, flexible PTO, parental leave, and Cycle-to-Work Scheme.