Senior Director, Data Science and Analytics

Senior Director, Data Science and Analytics WE POWER PEOPLE’S PROGRESS. At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. MEET THE TEAM! You will lead and scale Preply’s product, business, and marketing analytics and data science organization. Your mission is to turn rigorous experimentation and causal analysis into repeatable decision levers that improve retention, conversion, monetization, and LTV. This is a senior strategic role: you will set the vision, embed statistical expertise into product squads, run centralized metric governance and experiment tooling, own marketing measurement and optimization, and lead business analytics. You must be strongly technical, able to evaluate and approve technical designs, introduce higher standards, and raise the team’s technical and methodological bar. You will partner closely with Analytics Engineering and Experimentation Platform to ensure correct instrumentation, trusted datasets, and a single source of truth. This role does not lead ML or Applied AI, which are separate functions. Ideal candidate has experience and led product, marketing and business analytics. Must at least product and one of the other two. WHAT YOU’LL BE DOING - Set strategy and roadmap for product analytics, business analytics, and marketing measurement. - Build and lead a multidisciplinary team of product, marketing, and business analysts plus experiment and statistics leaders. - Own the end-to-end experimentation practice: hypothesis, design, instrumentation, monitoring, analysis, and rollout. - Lead marketing measurement and optimization: attribution, incrementality and holdout tests, media mix, cohort LTV, CAC and ROAS frameworks, and campaign experiments. - Own business analytics and reporting: forecasting, finance partnership, board-level metrics, and planning and performance reviews. - Deliver and govern a single metrics layer, production BI marts/APIs, experiment tracking, and reproducible analysis pipelines. - Define and enforce statistical standards and best practices across squads. - Translate statistical findings into clear product and commercial priorities and ensure analyses drive measurable KPI improvements. - Partner with Analytics Engineering and Data Platform to secure correct instrumentation, data lineage, and availability of SSOT datasets; insist on engineering and delivery improvements where needed. - Act as the organization’s technical judge for analytics and experimentation: review complex analyses, approve methodological approaches, and mandate improvements. - Hire, mentor, and develop senior managers and leaders; run calibration, promotion, and succession planning. - Represent analytics and experimentation at executive forums and drive cross-functional alignment. WHAT YOU NEED TO SUCCEED - 12+ years in analytics or data science and 7+ years leading and scaling analytics or experimentation organizations, including managing managers and owning hiring, promotions, and org design. - Documented track record of delivering measurable business outcomes through analytics and experimentation (retention, conversion, LTV, CAC, ROAS). - World-class experimentation and causal ... (truncated, view full listing at source)