Director, Lead Product Data Analyst - Digital

Digital products play a central role in how we create value for customers, support the teams who serve them, and shape the consumer experience. Our product organization brings together small, empowered teams that move with clarity, speed, and purpose, making digital a meaningful source of advantage across our operating unit.

Our work spans the experiences that keep the business running, including customer journeys, service delivery, sales workflows, and the systems that connect them. If you are energized by solving real customer problems, partnering across functions, and shaping products that deliver measurable impact, this role is for you.

We are hiring a Lead Product Data Analyst to join our Digital Product Data & Analytics team within the North America Digital & Data organization. Reporting to the Head of Product Data & Analytics, you will join a team of product data analysts and data scientists embedded within empowered, cross-functional squads that partner closely alongside Product, Design, Engineering, Research, and business stakeholders.

In this role, you will help define product outcomes, develop and test hypotheses, and influence prioritization and trade‑off decisions across the product roadmap. You will operate with a high degree of autonomy in complex and ambiguous problem spaces. Beyond delivering analyses, you will play a critical role in building the discipline of product analytics by bringing advanced methods, strong product thinking, and creative problem‑solving to the enterprise.

This role is a strong fit for an analyst who enjoys working closely with product teams, is curious about how users behave, and is motivated by helping teams learn faster and make better decisions.

• Define and evolve product measurement strategies and success metrics across adoption, engagement, retention, product health, and value creation.
• Analyze product usage, funnels, customer journeys, and segments to uncover user behaviors, friction points, trends, and opportunities that inform product strategy and iteration.
• Apply advanced analytics, statistical methods, and experimentation, including A/B testing, incrementality testing, and quasi-experimental analysis, to understand product performance and quantify impact.
• Partner with Product, Design, Engineering, Data, Commercial, and Operations to translate insights into product strategy, priorities, and action.
• Develop scalable measurement frameworks, playbooks, and experimentation standards that strengthen analytical maturity and outcome-based decision-making across teams.

• Define and improve product instrumentation, event tracking, and data structures that accurately reflect user behavior and support product measurement.
• Partner with Application Engineering to implement and validate event instrumentation, ensuring product interactions are captured accurately and consistently.
• Partner with Data Architecture and Data Engineering to define data requirements and ensure product data flows into the data lake.
• Establish and maintain consistent metric definitions, data‑quality standards, and analytical assumptions across products.

• Develop dashboards, visualizations, and data narratives that make insights accessible and actionable.
• Translate complex quantitative findings into clear recommendations that influence product strategy, prioritization, and decisions.
• Champion the thoughtful, ethical, and high-quality use of data across the product organization.

• Bachelor's or Master's degree in analytics, statistics, biostatistics, data science, economics, computer science, or a related quantitative…