Senior Product Manager - AI & Data Products

About the role

GWI is looking for a Senior Product Manager to join its Data Product team in London. You will own a new suite of AI and ML-powered data products at the forefront of innovation in market research, setting the vision and strategy, turning it into a roadmap and leading the squad that builds it. The role is permanent, with a weekly office requirement of two days per week on Mondays and Wednesdays, and all recruitment steps in English.

Key responsibilities

• Define the vision, strategy and positioning of the AI and data product suite within GWI's wider platform
• Identify where AI and ML create real value for clients and separate useful features from novelty
• Work with Data Science and ML Engineering on models, data, pipelines and methodology so products are accurate, reliable and scalable
• Define how AI quality is measured, including evaluation frameworks, accuracy and reliability benchmarks and feedback loops
• Shape responsible AI, covering transparency, data governance, privacy and explainability
• Build the roadmap from client feedback, market and competitor insight, stakeholder input and usage analytics, then prioritise work
• Take products from discovery and prototyping through to launch and adoption, including commercial model, pricing and packaging with Finance and Revenue (usage-based and consumption models)
• Communicate progress, trade-offs and results to the executive team and wider business

Required profile

• Shipped AI, ML, data or analytics products at a B2B company, ideally SaaS
• Comfortable with data and able to work with engineers on data quality, modelling and delivery (APIs, dashboards, integrations)
• Experience building complex roadmaps with cross-functional dependencies and balancing multiple priorities
• Strong problem solver, negotiator and influencer who can align stakeholders without authority
• Able to explain complex topics clearly to executives, engineers and customers
• Bonus: experience in market research, consumer insight or analytics, large-scale survey or behavioural datasets, or usage-based pricing for AI or API products

Required skills

• Understanding of how AI and ML products are built (LLMs, retrieval, agents, predictive models)
• Data quality, modelling and delivery

What we offer

• 25 days' annual leave plus holiday office closures
• Health cash plan, enhanced family benefits, carer days and mental health support
• Competitive salary, 4% pension matching and recognition programmes
• Flexitime, early Friday finishes, hybrid and remote options, and a work-from-home budget
• Accredited learning, leadership development and global career mobility
• DE&I initiatives, volunteering and donation matching