Vice President, Analytics

About Us

About the Role

As the Vice President of Analytics, you are at the heart of our data-driven culture. You will lead an international team of product analysts, automation specialists, and their leaders. In this role, you’ll deliver significant business impact by identifying high-quality insights and recommendations that are grounded in your ability to combine strategic thinking and problem-solving with well-thought-through analysis.

You will be our analytics visionary leader, fostering a culture of innovation that gives rise to ground-breaking business opportunities. You’ll harness the power of controlled testing, predictive ML, and generative AI to build products that help millions of people across the world.

What You’ll Do

• Lead and develop a high-performing global analytics team, building future leaders while driving business impact.
• Partner with initiative leaders and executives to embed analytics into strategic priorities, ensuring insights translate into measurable results.
• Drive the company’s experimentation program, implementing A/B, multivariate, Bayesian, sequential, pre-post, and causal impact analyses to fuel growth.
• Research and implement advanced analytics methodologies, including predictive ML and generative AI, to improve customer experience and drive business value.
• Evangelize analytics and AI developments across the organization, building adoption and excitement.
• Build a deep understanding of the business—from acquisition to retention—and deliver insights that lead to operational improvements and new growth opportunities.
• Partner with data engineering to ensure access to reliable, trustworthy data pipelines that enable rapid decision-making.
• Anticipate future needs and build the foundation to support analytics, experimentation, data science, and AI/ML at scale.
• Participate in strategic planning and connect company vision to the analytics roadmap and OKRs.

What Success Looks Like

In the first 6–12 months, success in this role will mean:

• Establishing trusted partnerships with initiative leaders, embedding analytics into the company’s most critical strategic priorities.
• Delivering early wins through experimentation and advanced analytics that show measurable business impact (e.g., customer acquisition, retention, operational efficiency).
• Building a clear analytics vision and roadmap aligned with company OKRs and long-term growth.
• Strengthening and scaling the global analytics team, developing leaders and empowering teams to deliver at pace.
• Demonstrating tangible applications of predictive ML and generative AI in production.

What We’re Looking For

• 10–15+ years of experience in a senior analytics role.
• An exceptional people leader who succeeds by growing leaders and teams.
• Demonstrable expertise in experimentation methodologies (A/B testing, Bayesian inference, pre-post, etc.).
• Proven success in driving business impact through predictive and/or generative ML.
• Deep understanding of how to democratize data and enable effective decision-making.
• Strong executive communication skills; able to influence at all levels, including board and C-suite.
• Hands-on capability with SQL/Python for ad hoc analysis when needed.
• B2C and/or e-commerce experience strongly preferred.
• Advanced degree in a related discipline (e.g., Analytics, Data Science, Statistics, Economics, Applied Mathematics).
• Experience leading and developing international teams.

Core Competencies

• Leadership & People Development

  – Inspires and develops senior leaders and high-performing global teams.

• Strategic Thinking

  – Connects analytics vision to company goals; anticipates trends and positions the team for the future.

• Executive Collaboration

  – Partners with initiative leaders and executives to embed analytics into strategy and drive measurable outcomes.

• Data & Insight Leadership

  – Translates complex analytics into clear, actionable insights that influence business decisions.

• Innovation & Experimentation

  – Encourages bold testing and drives adoption of predictive ML and generative AI.

• Global Leadership & Cultural Agility

  – Leads geographically dispersed teams and ensures consistency across regions.

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