Senior Director, Product Analytics

Peloton is looking for a Senior Director, Product Analytics to lead the Product Analytics team, reporting to the Senior Vice President of Product. As a user-centered, outcomes-driven Product organization, Peloton relies on the Product Analytics team to deliver strategic insights, reporting capabilities, and A/B testing to inform our direction, roadmap, and resource allocation.

The Senior Director, Product Analytics will lead our ~15 person team of analysts and data scientists to ensure we have the right data infrastructure and tooling, strong data and insight deliverables (include self-serve product dashboarding), and an engaged, growing, and high performing team. This role also sits on the SVP Product’s leadership team and provides a key voice of user and business insight into strategic conversations and business prioritization.

The ideal candidate combines outstanding business acumen and communication skills with solid analytical skills, with experience managing and developing teams of analysts and data scientists.

• Implement effective, flexible, issue-identifying data collection system for Product key events as a platform for Product Analytics. Interface cleanly with centralized data warehouses. Establish anomaly detection and other data hygiene systems
• Choose modern, valuable tooling for Product Analytics and split (A/B) testing. Stay on top of new offerings to upgrade the team's capabilities over time, including using LLMs to increase team effectiveness. Translate new software capabilities into training for analytics and PMs
• Develop a strategic Product Analytics strategy and roadmap, consulting with your leaders and cross-functional partners
• Ensure company and focus areas KPIs are well defined and tracked
• Align processes and thinking across Product Analytics and User Experience Research to ensure product leaders receive comprehensive and consistent insights from the two sources
• Partner with PM, Legal, and other key partners to establish product data standards, including data ethics, data quality, and data governance

• Automate and distribute key dashboards for leaders and teams to better run the business and understand user context
• Provide systems and resources for PMs to cleanly pull datasets themselves and create their own reports (currently in Looker and Amplitude). Your team creates leverage by supporting PMs to solve important problems themselves, with guidance
• Deliver effective A/B testing. Your team supports simple A/B testing by PMs themselves and/or implements complex tests alongside PMs. Tests themselves are well designed to deliver actionable insights
• Deliver high value insights and actionable recommendations via your team's product analysis and executive summaries. Present to leadership regularly
• Provide strategic guidance for Product strategy, informed by deep user and business understanding. Advise on which questions to ask. Use tools such as KPI trees to identify and recommend high leverage product areas

• Manage an engaged, successful team of ~15 product analytics and managers
• Coach and grow your leaders to be strategic partners for their areas (Ecommerce, App, Connected Fitness), delivering proactive guidance on key product and user insights that drive the business
• Ensure growth-minded culture and learning capabilities that support your entire organization's development and skill building, including industry scientific capabilities such as statistical modeling, exploratory data analysis, and causal inference
• Continuously enhance your own knowledge of product analytics frameworks and best practices,‑ (in a world of quickly evolving LLMs/machine learning and general new approaches to problem solving).
• Implement team learning and implementation of these new approaches
• Champion a data- and outcome-driven culture inside and outside your team
• Continuously maintain and uplevel high performance standards across your team

• BA/BS degree, preferably in a technical field
• 10+ years of experience in data science and statistics in digital companies, with significant experience in the product and user behavior domain.
• 4+ years of experience building, managing and leading analytics and data science teams
• Deep understanding of how Product Analytics can support the product development lifecycle every stage

• High proficiency in Python, R, SQL, and other data science tools/frameworks
• Experience with self-service analytics tools (e.g. Amplitude, Mixpanel) and BI tools (e.g. Looker, Tableau, PowerBI)
• Experience working with ML in low and high value situations. Bonus: used ChatGPT to run analyses
• Experience setting up different experimentation systems with a perspective on where the field is evolving
• Experience partnering with centralized data systems
• Experience establishing data governance, ethics, and quality

• Track record of providing valuable insights that shape the product roadmap and…