Lead Data Modeller - Insurance

A leading global professional services organisation is seeking experienced Senior Data Modellers to join its Insurance Technology & Transformation practice as Data Modelling Leads (Associate Director level). The insurance sector is undergoing rapid change, driven by the growing importance of data, analytics and AI. Organisations are rethinking how they manage, structure and use data-embracing decentralised approaches, modern platforms, and domain-oriented data products to unlock new value. Data modelling sits at the heart of this transformation. A strong data design strategy enables insurers to modernise their operations, enhance customer outcomes, and build the foundations for advanced analytics, machine learning and AI. This role offers the opportunity to shape those foundations and influence data strategy across major insurance organisations.

What You'll Do As a Data Modelling Lead, you will guide the design of transformational data solutions across the insurance value chain. Working alongside architects, engineers and business leaders, you will define coherent, business-facing data models that support critical functions and strategic objectives.

Your responsibilities include:

• Analysing business and technical environments to derive insights that inform data models and data architecture.
• Delivering business-facing insurance data models that support transformation, analytics, AI, reporting and regulatory needs.
• Contributing to end-to-end data and solution architectures across insurance domains.
• Helping clients understand how data can address strategic challenges and unlock new opportunities.
• Leading senior stakeholder relationships and establishing a common language for data across complex organisations.
• Developing strategic roadmaps for Data & AI capabilities.
• Leading diverse, high-performing teams and fostering an inclusive, supportive culture.
• Owning workstreams and ensuring successful delivery of client engagements.
• Supporting go-to-market activity, proposals and the evolution of data and architecture offerings.
• Contributing to the growth of the Strategy, Governance & Architecture community and mentoring emerging talent.

• Strong consulting background with client-facing delivery experience.
• Experience contributing to proposals, presentations and pre-sales activities.
• Excellent analytical and problem-solving skills.
• Executive-level stakeholder management and relationship building.
• Deep functional knowledge in Insurance (eg, Finance, Risk, Underwriting, Pricing, Claims, Asset Management).
• Proven leadership of multi-disciplinary teams and development of junior talent.
• Strong understanding of data solutions including data modelling, data management, data quality, MDM, reference data, analytics and BI.
• Experience in data solution architecture and design principles.
• Expertise in developing data models, data dictionaries, vocabularies, taxonomies or ontologies.
• Experience engaging both Business and IT stakeholders on large-scale programmes.
• Skilled in leading data design workshops and aligning data architecture across business units and geographies.
• Ability to quickly assimilate new techniques and apply them to business outcomes.
• Experience leading go-to-market activities including RFI/RFP responses.
• Commitment to inclusive team culture and people development.

Desirable experience

• Architecture certifications (eg, TOGAF) or equivalent.
• Certifications or hands-on experience with modern Data & AI technologies (eg, Microsoft Fabric, Snowflake, Databricks).
• Experience delivering Data Mesh or similar decentralised data frameworks.
• Experience designing data products for insurance.
• Understanding of Data Governance and platforms such as Collibra or Informatica.
• Experience managing cross-geography and offshore teams.
• Knowledge of regulatory frameworks such as GDPR, IFRS17, Solvency II.
• Experience establishing technical design authorities.
• Project management experience across agile and waterfall methodologies.