Manager, Insurance Data Modeller, Engineering, AI and Data

We are looking for motivated, curious, team-orientated individuals to join our market-leading Commercial & Specialty Insurance consulting team, leveraging their knowledge of the commercial and specialty insurance market to drive our clients’ growth and modernisation strategies forwards, especially as the use of AI, data and technology becomes more prevalent. We have extensive experience at the forefront of transformation programmes as Insurers build industry-leading capabilities, solutions and deliver differentiated growth.

As a Data Modeller, you will solve our clients’ most challenging business and data problems where your role will focus on bringing consistency, meaning and structure to complex data landscapes, helping organisations define common business vocabularies, align data across functions and markets, and develop scalable information architectures that support long-term business objectives. Working within diverse international teams, you will contribute to enterprise-wide data strategies, business glossaries, canonical and logical data models, data governance frameworks, and transformation programmes that rely on trusted, well-defined data.

Your role will involve:

• Designing enterprise data foundations by developing contextual, conceptual and logical data models that create a shared understanding of data across complex organisations.
• Translating business requirements into data solutions, defining entities, relationships, business rules and information structures that support transformation, analytics and AI initiatives.
• Analysing complex data landscapes to identify insights, opportunities and target-state data architectures that unlock business value.
• Producing and maintaining critical data artefacts, including data dictionaries, business glossaries, source-to-target mappings, reference data standards and governance documentation.
• Driving data quality, consistency and compliance across operational and analytical platforms, ensuring alignment with governance and regulatory requirements.
• Collaborating with business and technology stakeholders, including architects, engineers and senior executives, to deliver enterprise-wide data capabilities.
• Contributing to large-scale transformation programmes, supporting workstream delivery, project planning, risk management and client-facing deliverables.
• Supporting practice growth through thought leadership, proposition development, mentoring junior colleagues and contributing to business development activities.

Education & Experience:

• Bachelor's degree (or equivalent) in Computer Science, Business Information Systems or equivalent to a relevant discipline.
• Professional certifications in Data Management, Data Architecture, or related fields are advantageous.
• Strong understanding of AI, data and emerging technologies, and their application to business transformation.
• Proven experience in enterprise data modelling, business analysis, or data architecture roles.
• Strong background within Insurance, specifically to Commercial & Specialty is advantageous, either working directly for insurers/brokers or consulting to the sector.
• Understanding of the end-to-end insurance value chain, including exposure to Lloyd's and Company Market operations.
• Experience working within large, complex organisations and collaborating effectively across business, technology and executive stakeholder groups.
• Understanding of how AI and modern data capabilities can enhance data modelling, information management and business outcomes.
• Strong analytical, problem-solving and communication skills, with the ability to simplify complex concepts for both technical and non-technical audiences.
• Experience delivering within transformation programmes and managing workstreams or project responsibilities.

Technical Proficiency:

• Expertise in designing Enterprise, Domain and Solution Data Models, including Contextual, Conceptual and Logical Data Models.
• Hands-on experience with understanding complex business requirements and translating these into detailed data requirements, partnering with technical development teams to inform development of Physical Data Models.
• Strong understanding of Canonical, Semantic and relational Data Modelling techniques within an enterprise architecture context.
• Led the definition and establishment of data standards, business definitions, metadata, master data and business glossaries.
• Knowledge of source-to-target mappings, reference data management and data governance principles.
• Proficiency with SQL, database technologies and data modelling best practices.
• Strong experience using industry-standard data modelling tools such as Erwin, PowerDesigner, ER/Studio or Visio.
• Understanding of how AI can enhance data modelling, data design and information management activities.

You’ll be based in London with hybrid working. At Deloitte we understand the importance of balancing your career alongside your home life. That’s why we’ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely.

Our commitment to you is to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before. We want you. The true you. Your own strengths, perspective and personality. So we’re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution.