Senior Manager, Product Analytics & Experimentation

We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles.

We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care.

We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built a place where people (and ideas) can truly thrive.

If you’re looking to make an impact, bring your spark and be part of something meaningful – we’d love to have you on the team. 🌙🐷

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