Lead Data Architect

Anson McCade
Greater London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Big Data Data Architecture Data Governance Data Infrastructure Data Transformation Meta-Data Management Data Streaming Cloud Platform System Fast Healthcare Interoperability Resources Core Data
+3 more
Data Analytics Health Level Seven International Data Management

Job description

Lead Data Architect - Healthcare (Data & AI)

London Permanent Hybrid Working

Our client is a leading digital and technology consultancy delivering large-scale transformation across the UK public sector, with a strong presence in healthcare. The organisation focuses on building data platforms, analytics capabilities, and AI-enabled services that improve operational performance, research, and patient outcomes.

This opportunity sits at the intersection of data architecture, AI, and consulting, playing a ключ role across a growing healthcare portfolio. The position combines pre-sales engagement, solution design, and delivery leadership, working closely with senior stakeholders to shape and deliver complex Data and AI initiatives.

You’ll have the opportunity to:

  • Shape Data & AI opportunities across complex healthcare environments
  • Engage senior stakeholders to define problems and design solution approaches
  • Influence bids, proposals, and go-to-market offerings
  • Lead the design and assurance of large-scale data and AI solutions
  • Contribute to thought leadership in healthcare data and AI
  • Mentor and develop consultants within a growing practice

Your Responsibilities

  • Client Engagement & Pre-Sales Lead discovery sessions and exploratory workshops with senior stakeholders Shape early-stage opportunities and support qualification activities Develop compelling, solution-led proposals and presentations Act as a trusted advisor across healthcare organisations

  • Data Architecture & Delivery Lead or assure the design of complex data and AI solutions Take ownership of data architecture across delivery programmes Define data models, data flows, governance frameworks, and transformation strategies Provide technical leadership and assurance across delivery teams Advise on platform selection and data operating models

  • Offers & Thought Leadership Develop reusable accelerators and offerings aligned to healthcare data and AI Support go-to-market proposition development Contribute to industry engagement and knowledge sharing

  • Innovation & Leadership Track emerging trends in healthcare data and AI Apply new tools and approaches to improve solution quality Lead and mentor individuals across the Data & AI practice

Key Requirements

  • Experience operating as a Data or AI consultant in client-facing environments, including pre-sales and opportunity shaping
  • Strong expertise across core data architecture disciplines, including:
  • Data modelling
  • Data transformation and migration
  • Metadata management
  • Data governance
  • Proven track record delivering or assuring large-scale Data or AI programmes within healthcare or the public sector
  • Experience providing technical leadership across complex delivery environments
  • Strong stakeholder engagement experience up to Director and C-suite level
  • Broad understanding of modern data platforms, cloud ecosystems, analytics, and AI/ML
  • Experience across the full sales lifecycle, from shaping through to proposal and close
  • You will gain exposure with:

  • National-scale healthcare data and AI transformation programmes
  • Healthcare data standards and interoperability (e.g. FHIR, HL7, SNOMED)
  • Secure and research-focused data environments
  • Practical applications of AI, including emerging GenAI use cases
  • Large-scale public sector delivery and procurement models
  • Development of reusable assets, accelerators, and go-to-market offerings

Why Join?

  • Play a leading role in shaping Data & AI across UK healthcare
  • Influence programmes with real-world clinical and operational impact
  • Work across strategy, architecture, and delivery
  • Build a strong profile in a growing and high-demand sector
  • Progress within a high-growth Data & AI capability

Requirements

  • Experience operating as a Data or AI consultant in client-facing environments, including pre-sales and opportunity shaping
  • Strong expertise across core data architecture disciplines, including:
  • Data modelling
  • Data transformation and migration
  • Metadata management
  • Data governance
  • Proven track record delivering or assuring large-scale Data or AI programmes within healthcare or the public sector
  • Experience providing technical leadership across complex delivery environments
  • Strong stakeholder engagement experience up to Director and C-suite level
  • Broad understanding of modern data platforms, cloud ecosystems, analytics, and AI/ML
  • Experience across the full sales lifecycle, from shaping through to proposal and close
  • You will gain exposure with:

  • National-scale healthcare data and AI transformation programmes
  • Healthcare data standards and interoperability (e.g. FHIR, HL7, SNOMED)
  • Secure and research-focused data environments
  • Practical applications of AI, including emerging GenAI use cases
  • Large-scale public sector delivery and procurement models
  • Development of reusable assets, accelerators, and go-to-market offerings

Benefits & conditions

  • Play a leading role in shaping Data & AI across UK healthcare
  • Influence programmes with real-world clinical and operational impact
  • Work across strategy, architecture, and delivery
  • Build a strong profile in a growing and high-demand sector
  • Progress within a high-growth Data & AI capability

About the company

Our client is a leading digital and technology consultancy delivering large-scale transformation across the UK public sector, with a strong presence in healthcare. The organisation focuses on building data platforms, analytics capabilities, and AI-enabled services that improve operational performance, research, and patient outcomes.

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