Location
London, United Kingdom (Hybrid) - UK-Based Role with Global Client & Delivery Remit

Hours
Full Time

Salary
Negotiable

About the Role
We are seeking a capable Consulting Data Architect to join our Insurance Technology Consulting practice and play a pivotal role in shaping, selling, and delivering data-led consulting engagements for insurance clients. This role sits at the intersection of insurance consulting, data architecture, and business development, requiring an individual who can influence propositions, engage credibly with senior client stakeholders, and lead the design and implementation of modern data solutions. The successful candidate will help insurers unlock the value of their data across the insurance value chain, supporting transformation initiatives spanning Underwriting, Claims, Pricing, Reserving, Capital Modelling, Risk, and Finance Operations. This is a UK-based role with a global remit, supporting client engagements, proposition development, and delivery initiatives across multiple geographies.

This is an ideal opportunity for a senior Data Architect who wants greater exposure to proposition development, client engagement, and pre-sales activities while retaining a strong technical foundation, or a senior Data Consulting professional who enjoys working at the intersection of business and technology and wants to deepen their focus within the insurance sector.

Key Responsibilities
- Shape Go to Market Propositions by embedding modern data, analytics, and AI capabilities into market-facing solutions and collaborating with Insurance and Technology Consulting leaders.
- Sell Consulting Engagements by supporting pre-sales activities, structuring commercially attractive data solutions, and developing proposals and presentations.
- Deliver Data Consulting Projects by leading the design and overseeing implementation of modern data capabilities, defining scalable architectures, governance frameworks, and guiding engineering teams.
- Ensure solutions meet enterprise requirements for security, resilience, scalability, compliance, and operational excellence.

Experience
Proven experience leading the architecture and delivery of enterprise-scale data transformation programmes, translating business strategy into scalable, practical, and measurable outcomes. Demonstrated ability to operate across the full lifecycle of proposition development, pre-sales, solution shaping, architecture leadership, and programme delivery within consulting, insurance technology, or transformation environments. Experience engaging and influencing senior business, technology, and executive stakeholders, building trusted relationships and communicating complex concepts in terms of business value, outcomes, and return on investment. Strong commercial and operational awareness balancing strategic ambition, implementation complexity, delivery risk, and value realisation. Proven leadership of multidisciplinary teams and architecture decisions across complex transformation initiatives applying modern data capabilities to solve insurance business challenges.

About you
Strong understanding of one or more insurance domains including Underwriting, Claims, Pricing and Rating, Actuarial and Reserving, Capital Modelling, Finance, and Regulatory Reporting. Ability to demonstrate how modern data platforms, governance, analytics, and AI capabilities support decision-making and operational improvement within these domains. Comfortable working at the intersection of business and technology with a focus on delivering tangible value.

Qualifications
Data Infrastructure & Platform Architecture expertise including modern cloud-native data platforms such as data lakes, Lakehouse, data warehouses, integration patterns, and API-led architectures. Experience with technologies such as Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Knowledge of data governance frameworks, metadata management, lineage, cataloguing, data quality, and master data management, with familiarity in tools like Microsoft Purview, Profisee, Informatica, and Collibra. Strong skills in enterprise data modelling, information architecture, and data design principles aligned to business and regulatory requirements. Proficient in SQL and data modelling tools. Experience enabling reporting, analytics, and decision-support capabilities using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake. Understanding of AI and ML Ops platforms and designing architectures for trusted, governed, and scalable AI adoption using platforms such as Azure AI Foundry, Databricks, Snowflake, AWS Bedrock, and GCP Vertex.