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Guy's & St Thomas' Foundation

Head of Data (18 Months FTC)

London
£73k – £80k/yr
Posted 5 days ago
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Head of Data (18 Months FTC)

Head of Data (People & Culture - People/HR)

Location: London, Hybrid Compensation: £73,000 - £80,000 / year Deadline: 23 July 2026

About the Role

The Head of Data leads the Foundation’s enterprise-wide data strategy, establishing a trusted, secure, well-governed, and insight-driven data environment. This leadership role is responsible for delivering:

  • Data governance
  • Data quality assurance
  • Data architecture and engineering
  • Reporting, analytics, and effective use of cloud-native data platforms across the organisation

This position is integral in accelerating the Foundation’s evolution into a data-mature, insight-led organisation, supporting strategic decision-making, regulatory confidence, operational excellence, and impact measurement.

Under the supervision of the Director of Transformation, the Head of Data will:

  • Build and develop the data team
  • Shape the Foundation’s data culture
  • Ensure data functions as a strategic asset, driving value, trust, and innovation

The Head of Data will deliver a modern, secure, and trusted data environment that supports the Foundation’s mission, ensuring high data quality for insight, transparency, regulatory confidence, and impact measurement. Additionally, this role promotes a future-ready data capability, underpinning long-term transformation and fostering a culture where data is seen as a shared asset powering decisions, partnerships, and community impact.


Key Responsibilities

Strategic Data Leadership

  • Develop and deliver the Foundation’s enterprise data strategy, aligning it with the mission and organisational goals
  • Enable data-driven decision-making across key functions:
    • Finance & Legal
    • Endowment
    • Charities
    • Impact on Urban Health
  • Embed data into:
    • Customer experience
    • Operational resilience
    • Risk management
    • Strategic planning
  • Ensure measurable outcomes in:
    • Data quality
    • Data adoption
    • Organisational value

Data Governance & Compliance

  • Lead and mature a robust data governance framework, including:
    • Standards and policies
    • Ownership models
    • Quality controls
    • Metadata management
  • Ensure compliance with:
    • GDPR
    • Data protection regulations
    • Relevant regulatory and audit requirements
  • Establish trusted data architecture through:
    • Strong controls
    • Data lineage
    • Classification
    • Lifecycle management

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PwC·London, UK
£35,000/yr

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Data Architecture & Engineering

  • Lead enterprise data architecture design, including:
    • Data lakes and warehousing
    • Integrations and pipelines
    • Data modelling
  • Own and optimise cloud-native data technologies across Microsoft Azure, including:
    • Fabric
    • Azure Data Lake
    • Data Factory
    • Databricks
    • Synapse
    • SQL
  • Ensure the data platform is:
    • Scalable
    • High-performing
    • Secure
    • Aligned with organisational transformation needs
  • Partner with the Business Systems team to deliver seamless integrations with:
    • CRM systems
    • Finance tools
    • Impact measurement platforms
    • Third-party integrations

Analytics, Insight & AI

  • Lead the development of enterprise reporting and analytics, delivering:
    • Timely, accurate, and actionable insights
  • Oversee Power BI governance, including:
    • Semantic models
    • Self-service enablement
  • Drive predictive analytics and operational insights
  • Foster responsible AI/ML adoption to enhance outcomes and impact measurement
  • Champion innovation using emerging technologies to support operational insight

Leadership, Culture & Collaboration

  • Work closely with:
    • Head of Change
    • Head of Business Systems
    • IT Operations Manager to develop end-to-end solutions for business systems, data, and infrastructure
  • Over time, build and lead a multidisciplinary data team
  • Champion data literacy and foster high-quality data habits, cultivating a culture of curiosity
  • Represent the organisation externally with:
    • Regulators
    • Suppliers and strategic partners
  • Manage internal and external delivery, including:
    • Procurement and vendor oversight

Note: Role responsibilities are not exhaustive, and expansion into wider, commensurate tasks will be expected.


Skills, Knowledge, and Expertise

Soft Skills and Attributes

  • Self-starter, adaptable, works with integrity
  • Curious and committed to continuous improvement
  • Excellent attention to detail and due process
  • Dedicated to delivering consistent, high-quality customer service (both internal and external)
  • Strong interpersonal skills
  • Effective communication (written and verbal), including listening and influencing
  • Ability to operate strategically and hands-on
  • Strong problem-solving and analytical thinking
  • Adept at building trust and leading through influence
  • Committed to data ethics, privacy, and responsible technology
  • Outstanding knowledge of emerging technologies
  • Excellent ability to translate technical concepts for senior and non-technical stakeholders

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Technical and Experiential Requirements

Essential Experience and Knowledge

  • Proven experience leading data functions in regulated or complex organisations, including:
    • Charity, financial services, healthcare, public sector
  • Strong background in:
    • Enterprise data management
    • Governance
    • Data quality and architecture
  • Deep technical expertise in Microsoft Azure data ecosystem, including:
    • Fabric
    • Data Lake
    • ADF (Azure Data Factory)
    • Databricks
    • Synapse
    • SQL
    • Purview
    • DevOps
  • Experienced in scaling cloud-native data platforms and modern data stacks, including:
    • Lakehouse
    • Pipelines and BI tooling
  • Strong understanding of:
    • GDPR
    • Data protection
    • Compliance and data risk frameworks
  • Proven track record influencing senior/executive leadership and managing cultural change

Desirable Qualifications and Experience

  • Experience with Microsoft Purview governance and applying responsible AI frameworks
  • Certifications such as Azure Data Engineer, Solutions Architect, or equivalent
  • Experience with:
    • Azure/OpenAI
    • Snowflake/BigQuery/Redshift
    • dbt or modern orchestration tools
  • Experience enabling insights in:
    • Impact-driven organisations
    • Donor-focused settings
    • Audience engagement environments
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Skills

Data Governance
Data Quality
Data Architecture
Data Engineering
Analytics
Microsoft Azure
Cloud Technologies
GDPR Compliance
Data Management
Leadership
Problem Solving
Communication
Data Ethics
Predictive Analytics
Cultural Change
Data Literacy

Location

London, England, United Kingdom

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