Senior Product Manager - Data - Remote in London

Weekly office requirement: Right now we're looking for a Senior Product Manager to play a key role in our Data Product team in London. If that's you, and making a difference gets you out of bed in the morning, keep reading. ðAs our Senior Product Manager you'll own a new suite of AI and ML-powered data products at the forefront of innovation in the market research industry. This is a chance to shape how businesses around the world access and act on consumer insight, and to define what AI-native market research looks like rather than follow someone else's lead. You'll work closely with Data Science, ML and Engineering, as well as Design, Sales, Client Success, Marketing and Finance, with plenty of direct contact with clients and prospects. A few things you'll be responsible for:ð Defining the vision, strategy, and positioning of our new AI and data product suite, and how it fits into GWI's wider platformð Identifying where AI and ML create real value for clients, and separating what's genuinely useful from what's just novelð Working with Data Science and ML Engineering on the models, data, pipelines and methodology behind the products, so they are accurate, reliable, scalable, and trustedð Defining how we measure AI quality, including evaluation frameworks, accuracy and reliability benchmarks, and feedback loops, and deciding what "good enough to ship" meansð Shaping our approach to responsible AI, covering transparency, data governance, privacy and explainability, so clients can trust what the products tell themð Building the roadmap from client feedback, market and competitor insight, internal stakeholder input and usage analytics, then prioritising the most valuable workð Taking products from early discovery and prototyping through to launch and adoption, including shaping the commercial model, pricing and packaging with Finance and Revenue teams (including usage-based and consumption models)ð Communicating progress, trade-offs and results clearly to the Exec team and wider businessIt's also fun. In a fast-moving AI landscape, you'll need to be flexible, comfortable with continuous change, and happy working in a high-tempo environment. Here's what the team will be looking for in you:ð You've shipped AI, ML, data or analytics products at a B2B company, ideally SaaSð You understand how AI and ML products are built (for example, LLMs, retrieval, agents, predictive models) ð You're comfortable with data. You can work with engineers on data quality, modelling, and delivery (APIs, dashboards, integrations)ð You've built complex roadmaps with cross-functional dependencies, and you can balance multiple priorities without losing the plotð You make informed decisions at pace, even when the picture isn't complete, and you're happy taking a big initiative and running with itð You're a strong problem solver, negotiator, and influencer. You get alignment without needing authorityð You explain complex things clearly to very different audiences: execs, engineers, customersð You ask questions and draw knowledge out of your team to find the right engineering, data science and design solutionsð Bonus points if you've worked in market research, consumer insight or analytics, with large-scale survey or behavioural datasets, or on usage-based pricing for AI or API productsEqually important is attitude. Usð You'll work on a new AI-powered product suite at the leading edge of the market research industryð You'll build on GWI's large-scale consumer datasets, a strong foundation for AI products that competitors can't easily replicateð You'll have room to shape the strategy and run your own squad your wayWhat We Offer ð§At GWI, you'll find meaningful work, visible impact, and a culture that empowers you to do your best. Time to recharge – 25 days' annual leave, plus office closures over the holidays. Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support. Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success. Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a "work from home" budget. Career growth – Accredited learning, leadership development, and global career mobility. Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving. Diversity, Equity & Inclusion ð«¶Diversity is fundamental to who we are—as a data company and as a workplace. Our data reflects global realities, and so must our teams. As a Disability Confident employer, we welcome applications from disabled candidates and are committed to making adjustments throughout the hiring process—whether that's extra time, materials in advance or a different format, breaks, an adjusted interview format, assistive tools, or flexible scheduling. We actively encourage applications from underrepresented and marginalised communities. li-hybrid#LI-LV1