Lead Data Modeller

Job Title: AI Lead - Data & Agentic AI Foundations

Location: London

About the Job you are considering:
we are seeking AI Lead - Data & Agentic AI Foundations who will provide both strategic direction and technical leadership to establish the critical data, knowledge, and technology foundations required to enable AI-powered underwriting, claims, pricing, and operational decision-making.

This role will bridge traditional enterprise data platforms and emerging AI ecosystems, including Agentic AI, Knowledge Graphs, Intelligent Automation, and AI-driven decision support. Working closely with Data, Architecture, Technology, and Business stakeholders, the successful candidate will define the target-state AI architecture, establish enterprise AI-ready data foundations, and drive the adoption of scalable AI capabilities across the organization.

The role requires a rare combination of strategic vision, enterprise architecture expertise, hands-on technical leadership, and insurance domain knowledge.

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role:
AI Strategy & Transformation

• Define and execute the enterprise roadmap toward becoming an AI-native insurance organization.
• Develop long-term AI and data architecture strategies aligned with business objectives.
• Partner with the CDO, CIO, Data Engineering, Enterprise Architecture, and Underwriting leadership teams to prioritize AI investments and initiatives.
• Create phased roadmaps covering near-term, medium-term, and future-state AI capabilities.
• Identify opportunities where AI can improve underwriting effectiveness, claims efficiency, pricing sophistication, and operational productivity.
• Establish governance frameworks supporting responsible and scalable AI adoption.

Agentic AI Architecture & Foundations

• Design and implement foundational capabilities enabling enterprise Agentic AI adoption.
• Define standards for exposing business capabilities, enterprise applications, and data assets as reusable AI services and tools.
• Establish agent orchestration patterns, tool integration standards, and autonomous workflow architectures.
• Develop frameworks supporting AI agents, copilots, and intelligent assistants across business functions.
• Evaluate emerging AI technologies and agent frameworks to support enterprise-scale adoption.

Data as a Product Leadership

• Champion and institutionalize a Data as a Product operating model.
• Define AI-ready data products across:
  • Underwriting
  • Claims
  • Pricing
  • Actuarial
  • Risk Management
  • Operational Decision Support
• Ensure data products are discoverable, reusable, governed, trusted, and consumable by AI applications and agents.
• Drive transition from traditional reporting-focused data usage toward operational and decision-centric AI use cases.
• Promote product thinking across data teams and business stakeholders.

AI-Ready Data Platform Architecture

• Assess current Databricks and Enterprise Data Platform capabilities against AI requirements.
• Define enhancements required to support:
  • AI and GenAI workloads
  • Retrieval-Augmented Generation (RAG)
  • Large Language Models (LLMs)
  • Agentic workflows
  • Real-time intelligence solutions
• Design and implement operational data zones supporting:
  • Real-time and near real-time data access
  • AI inference workloads
  • Event-driven architectures
  • Intelligent automation solutions
• Establish approaches for exposing enterprise data through:
  • APIs
  • Data Services
  • Semantic Layers
  • AI Interfaces
  • Knowledge Platforms
    
    

Knowledge Management & Semantic Architecture

• Define enterprise strategies for managing structured and unstructured knowledge assets including:
  • Underwriting Guidelines
  • Risk Appetite Frameworks
  • Policy Documentation
  • Product Catalogues
  • Regulatory Documentation
  • Clause Libraries
  • Compliance Standards
• Lead the design and implementation of enterprise Knowledge Graphs.
• Establish semantic data models and contextual knowledge layers.
• Build scalable knowledge foundations supporting AI applications and intelligent reasoning.
• Ensure trusted, governed, and auditable access to contextual business knowledge.

Your Skills:
Essential

• 12+ years of experience in Enterprise Data, Data Architecture, AI, or Technology Leadership roles.
• Proven experience developing enterprise AI and data strategies.
• Extensive experience designing large-scale data platforms and modern data architectures.
• Strong experience with Databricks, cloud data ecosystems, and lakehouse architectures.
• Experience implementing AI, GenAI, Machine Learning, or Agentic AI solutions in enterprise environments.
• Strong understanding of Knowledge Graphs, Semantic Technologies, Taxonomies, and Metadata Management.
• Experience designing API-driven and service-oriented architectures.
• Expertise in Data as a Product principles and operational data architectures.
• Experience leading enterprise transformation initiatives.
• Strong stakeholder management and executive communication skills.
• Deep understanding of AI delivery, governance, and adoption challenges.

Desirable

• Insurance industry experience across Underwriting, Claims, Pricing, Risk, or Actuarial domains.
• Experience with Agentic AI platforms and orchestration frameworks.
• Experience implementing Enterprise Knowledge Graphs.
• Familiarity with Vector Databases, RAG architectures, and LLM ecosystems.
• Experience with Azure AI, OpenAI, AWS AI, or Google AI platforms.
• Knowledge of event-driven architectures and real-time data platforms.
• Experience delivering AI-powered decision support systems.

We are a Disability Confident Employer:

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

• Declare they have a disability, and 
• Meet the minimum essential criteria for the role.

Please opt in during the application process.

Make It Real (what does it mean for you):

• You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation.  We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. 
  To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
• You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
• You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
  
  

Why you should consider Capgemini:

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask.  When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts.  We find new ways technology can help us reimagine what’s possible.  It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future.  By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini:

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com