Senior Director, Data Science and Analytics

Senior Director, Data Science and Analytics

Organisation Preply

Locations:
London, UK

Final date to receive applications: 29 days remaining

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 personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries.

Every Preply lesson sparks change, fuels ambition, and drives progress that matters.

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.

• 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.

• 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 judgment: experiment design, power analysis, stopping rules, multiple-testing correction, heterogeneity and uplift/holdout design, and interpretation of complex results.
• Deep marketing measurement experience: attribution, incrementality, holdouts, media mix modeling, cohort LTV, CAC/ROAS, and channel experimentation tied to budget decisions.
• Experience leading business analytics and reporting teams that partner tightly with Finance on forecasting and board-level metrics.
• Proven partnership with Analytics Engineering or Data Platform to secure instrumentation, trusted…