Data Science Director

We're looking for a seasoned analytics leader to drive data-informed product and business decisions across a portfolio of platforms that make our products personal, trustworthy, well-crafted, communicative, and usable by anyone, anywhere. You will play a critical role as the first dedicated analytics leader for this organization, inheriting a small, senior Data Science team and building the function around it. You will also lead Data Science for our AI-powered Product Marketing initiative. You will be a strategic partner to product and engineering leadership - shaping the questions worth asking, delivering rigorous analyses, and using data to drive change in products, strategies, and organizations.

Responsibilities

Define the Data Science operating model across a portfolio of platforms - deciding what the team should look like at each stage of scale and where to invest across diverse problem spaces including growth/personalization, social good, design craft, communications, and globalization.

• Partner with leadership teams across product, engineering, and go-to-market organizations to build and strengthen a data-inspired culture, bringing innovative data insights into the key decisions for product success.

• Inspire, lead, and grow a globally distributed team of data scientists, setting the hiring bar, standards, and culture for analytical rigor.

• Own measurement and experimentation strategy at scale - holdouts, incrementality, and topline attribution across platforms driving tens of millions of incremental users.

• Lead the measurement and evaluation flywheel for AI-powered marketing initiatives, including quality rubrics, golden-set evals, governance, and revenue tie-out.

• Apply your expertise directly and through coaching the team to shape growth strategy, product optimization, design quality evaluation, communications optimization, and AI-driven automation tradeoffs.

• Build strong cross-functional relationships with product and engineering leadership that make Data Science a co-pilot, not an afterthought - presenting regularly to senior leadership with crisp, actionable, defensible insights.

• Drive the evaluation and quality mindset for AI systems - measuring whether AI/ML systems are delivering on reasoning quality, task completion, and user trust.

• Build organizational processes and structure for scale including recruiting, new hire onboarding, team operating rhythm, and people programs.

• Lead analytics through change as platforms are rebuilt to be AI-native, setting the example for AI-native analytics practices.

• 10+ years of work experience managing analytics teams, working collaboratively with Product and Engineering teams, and guiding data-influenced product and business planning, prioritization, and strategy development

• Deep expertise in causal measurement, experimentation design, holdouts, incrementality, and topline attribution at scale

• Demonstrated experience in hiring, retaining, and scaling diverse, high-performing teams

• Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses

• Strong executive communication skills with experience presenting to VP/exec-level leadership

• Experience evaluating AI/ML system quality - reasoning quality, task completion, and user trust metrics

Preferred Qualifications

• Experience leading analytics across multiple, very different problem spaces (e.g., growth, social good, design, communications, globalization)

• Experience driving analytics for rapidly scaling or AI-native product lines

• Track record as a hands-on technical leader who sets the bar for analytical rigor and can still do the hardest analysis themselves

• Experience with both product analytics and business analytics applications