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Posted Jul 20UK - London
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Senior AI Product Manager - Product & Experience

SeniorOn-site (UK)€88,000 – €118,000 / yr
Required Skills
Machine LearningLLMs / Generative AI
Job Description

Senior AI Product Manager - Product & Experience 
Location: London (Hybrid) | Practice Area: Product & Experience | Type: Permanent 

Shape meaningful products that improve customer outcomes across financial services and energy. 

The Role

As a Senior Product Manager within Capco’s Product & Experience practice, you will define, build, and scale AI-enabled products and experiences. You will translate emerging AI capabilities into real-world value, working closely with clients and cross-functional teams to deliver products that are commercially impactful, user-centric, and production-ready within complex, regulated environments. 

You will also operate as an AI-enabled Product Manager, leveraging modern AI tooling to accelerate discovery, decision-making, and delivery. 

What You’ll Do 

  • Lead product engagements across clients and Capco teams, embedding AI into both product strategy and delivery workflows 
  • Define and deliver AI-native product strategies, including value propositions, roadmaps, and commercialisation models 
  • Own products end-to-end, from discovery through delivery and iteration, incorporating rapid experimentation, prototyping, and AI-assisted development 
  • Identify, shape, and prioritise AI/GenAI/agentic/ML use cases, translating them into scalable product features and measurable business outcomes 
  • Partner closely with data science and engineering teams to bring ML models and AI systems into production, balancing performance, risk, and cost 
  • Champion responsible AI by embedding governance, explainability, and regulatory considerations into product design and lifecycle 
  • Mentor and lead multidisciplinary teams, fostering a culture of experimentation, learning, and AI & data fluency 

What We’re Looking For 

  • Experience in developing and delivering digital products/portfolios across B2B, B2C, or B2B2C contexts within financial services 
  • Deep knowledge in one or more of the following: retail banking, commercial banking, wealth management, asset management (across advisory, discretionary, or execution-only models), capital markets, investment banking, insurance, or energy. 
  • Proven experience building or scaling AI, data, or platform-enabled products, including exposure to GenAI or LLM-based applications 
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