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Data Architect

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Willis Towers Watson
Full Time position
Listed on 2026-07-16
Job specializations:
  • IT/Tech
    Data Engineering, IT Consultant, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 110000 - 170000 GBP Yearly GBP 110000.00 170000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Description

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.

Location: London, United Kingdom (Hybrid)
Scope: UK-Based Role with Global Client & Delivery Remit
Reporting To: Head of Architecture Advisory, Insurance Technology Consulting

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 & 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.
  • 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

Contribute to evolution of our Insurance Technology Consulting propositions by embedding modern data, analytics & AI capabilities into market‑facing solutions.

  • Collaborate with Insurance and Technology Consulting leaders to develop differentiated data‑led propositions.
  • Apply emerging data capabilities to strengthen transformation outcomes across underwriting, claims, actuarial, finance, and risk functions.
  • Contribute thought leadership and establish best practices for modern data platforms and operating models.

Sell Consulting Engagements

Support pre-sales activities by structuring compelling, commercially attractive, and pragmatic data solutions for insurance clients.

  • Partner with clients and consulting teams to understand business challenges and define pragmatic data‑centric solution approaches.
  • Demonstrate knowledge of insurance processes and apply modern data capabilities to address business needs.
  • Develop proposals, presentations, and solution narratives that clearly articulate business value and data transformation outcomes.

Deliver Data Consulting Projects

Lead the design and oversee implementation of modern data capabilities that deliver measurable business results for insurance clients.

  • 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.
Qualifications

What you’ll bring

Leadership & Commercial Acumen

  • Proven experience leading the architecture and delivery of enterprise‑scale data transformation programmes, translating business strategy into scalable, practical, and measurable outcomes.
  • Demonstrated operating 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.
  • Strong commercial and operational awareness, balancing strategic ambition, implementation complexity, delivery risk, and value realisation to ensure successful programme outcomes.
  • Proven ability to lead multidisciplinary teams and architecture decisions across complex transformation initiatives, applying modern data capabilities to solve…
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