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.

Key Responsibilities:
- Shape Go to Market Propositions by embedding modern data, analytics, and AI capabilities into market-facing solutions and collaborating with leaders to develop differentiated data-led propositions.
- Support pre-sales activities by structuring compelling, commercially attractive, and pragmatic data solutions for insurance clients.
- Lead the design and oversee implementation of modern data capabilities that deliver measurable business results.
- Define scalable target-state architectures, insurance data models, governance frameworks, and integration approaches aligned to business and technology objectives.
- Provide data architecture leadership across complex transformation programmes and guide engineering teams through successful implementation.
- 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 experience across the full lifecycle of proposition development, pre-sales, solution shaping, architecture leadership, and programme delivery within consulting, insurance technology, or transformation environments. Ability to engage and influence senior business, technology, and executive stakeholders, building trusted relationships and communicating complex concepts in terms of business value, outcomes, and return on investment. Proven ability to lead multidisciplinary teams and architecture decisions across complex transformation initiatives, applying modern data capabilities to solve insurance business challenges and deliver tangible value across underwriting, claims, actuarial, finance, and risk functions.

About you
Strong commercial and operational awareness, balancing strategic ambition, implementation complexity, delivery risk, and value realisation to ensure successful programme outcomes. Ability to work at the intersection of business and technology with a deep focus on the insurance sector. Excellent communication and leadership skills with a passion for innovation and transformation.

Qualifications
Insurance Domain Knowledge: Strong understanding of one or more of the following insurance domains: 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.

Data & Technology Expertise:
- Data Infrastructure & Platform Architecture: Strong understanding of modern cloud-native data platforms including data lakes, Lakehouse, data warehouses, integration patterns, and API-led architectures. Experience with Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake.
- Data Management, Governance & Controls: Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with governance and compliance tooling such as Microsoft Purview, Profisee, Informatica, and Collibra.
- Data Modelling & Information Architecture: Strong knowledge of enterprise data modelling, information architecture, and data design principles. Proficient in SQL and data modelling tools.
- Analytics & Business Intelligence: Experience enabling reporting, analytics, and decision-support capabilities that drive business outcomes across insurance functions. Ability to design architectures supporting self-service analytics and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake.
- AI & Advanced Data Capabilities: Understanding of emerging Artificial Intelligence and ML Ops platforms. Experience designing architectures that enable trusted, governed, and scalable AI adoption using platforms such as Azure AI Foundry, Databricks, Snowflake, AWS Bedrock, and GCP Vertex.