Podsumowanie roli od JobGrid
Senior Manager, Product Analytics & Experimentation at moonpig: London, Wielka Brytania; Na miejscu; IT; Analityka. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: London, Wielka Brytania, Na miejscu
- Role classification: IT, Analityka
- Source freshness: checked by JobGrid on 2026-05-30.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Join us at Moonpig as a Senior Manager, Product Analytics & Experimentation, where you’ll define and scale how data shapes product decisions across our Cards business. This role sits within the Data team while being deeply embedded in Product - partnering closely with senior Product leaders to turn behavioural insight and experimentation into clear, commercially grounded decisions.
You’ll lead a high-performing analytics team while shaping the future of how we use data - moving from embedded analytics to scalable, self-serve approaches. This is a role with real influence, where your work will directly impact product strategy, customer experience, and business performance.
Key Responsibilities:
- Define and scale the Product Analytics function, setting direction for experimentation, behavioural analysis and impact measurement across product teams
- Establish and embed best practices for experiment design, analysis and interpretation to enable consistent, high-quality decision-making
- Build and run experimentation operations, including clinics, forums and training to improve quality and adoption across teams
- Own and evolve the product metrics framework, including north star, input and guardrail metrics
- Contribute to product attribution approaches, partnering with Product and Finance to align expected and realised impact
- Define measurement approaches for AI and algorithmic features in collaboration with Data Science, MLOps and Engineering
- Shape product and commercial strategy through opportunity identification, impact sizing and evidence-based recommendations
- Lead high-impact and complex analysis, ensuring outputs are decision-ready and commercially grounded
- Synthesise behavioural insight, experimentation results and commercial context to inform strategic direction
- Build scalable analytics capability through frameworks, tooling and self-serve approaches
- Line manage and develop a team of analysts, building technical depth and stakeholder influence
- Drive cross-functional alignment across Product Analytics, Data Science and Engineering
About you:
- Proven experience leading and developing Product Analytics teams, with a track record of scaling impact and capability
- Strong background in product or commercial analytics within a digital or e-commerce environment
- Deep experience designing, running and interpreting experiments with sound statistical judgement
- Advanced analytical skills, including strong SQL and working knowledge of Python or similar
- Ability to translate complex analysis into clear, commercially grounded recommendations
- Confident communicator with experience influencing senior stakeholders across Product and cross-functional teams
- Experience building scalable analytics practices, including frameworks, templates and self-serve tooling
- Comfortable working with ambiguity and leading high-impact, business-critical investigations