Data Governance Manager
Listed on 2026-09-29
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IT/Tech
Information & Knowledge Management, Data Engineering, Information Security & Data Protection, IT Business Analyst
Data Governance Manager
- Enterprise Data & AI Introduction
The IT function has renewed its strategy in response to Laing O'Rourke's ambition to help transform an industry, making it more sustainable, more productive, and fit for the future.
Our opportunity is to apply technology in ways that genuinely matter, shaping how complex projects are delivered, how decisions are made, and how innovation improves outcomes for people, communities, and the environment.
The mission is clear - to create a modern, resilient technology environment, where data underpins every decision, AI enhances every process, and digital capability accelerates progress at scale.
We are building a different kind of IT function to help achieve this, one that is trusted, forward-looking, and deeply connected to the success of the business.
You will work on meaningful technical challenges, contribute to important initiatives, and grow your capability in a supportive environment. You will be trusted with responsibility, encouraged to contribute ideas, and able to see the impact of your work.
We are looking for people who are curious, thoughtful and motivated by contributing to something larger than themselves.
Role PurposeThe Data Governance Manager
- Enterprise Data & AI is responsible for implementing, embedding, and continuously improving data governance practices across Laing O'Rourke, so that data is trusted, understood, and effectively used as an enterprise asset.
Reporting to the Principal Lead
- Enterprise Data & AI Enablement, this role plays a critical part in enabling the company to scale data and AI safely and effectively through clear ownership, consistent standards, and practical governance processes.
You will drive the understanding, adoption, and integration of governance practices across the company, working as part of the wider Data & AI operating model:
- Enterprise Data & AI Enablement - defines where and how data and AI are applied across the business
- Data & AI Solutions and Insight - builds and delivers the solutions that realise that value
- Data Platforms and Governance - provides trusted, secure, and scalable data foundations
You will act as the bridge between policy and practice, making governance pragmatic, usable, and aligned to business delivery, enabling rather than constraining progress.
This role is critical in moving the organisation from fragmented data ownership to consistent, enterprise-wide trust in data.
Key Accountabilities Data Governance Implementation and Adoption- Implement and embed the enterprise data governance framework, ensuring consistent adoption across business and technology teams
- Translate governance policies into practical, usable processes and guidance
- Ensure governance is integrated into delivery life cycles, not applied retrospectively
- Drive adoption of governance practices as part of everyday ways of working
- Establish and support clear data ownership and stewardship models across business teams
- Enable data owners and stewards to understand and fulfil their responsibilities through guidance, tooling, and coaching
- Promote accountability for data as a shared enterprise asset
- Define and embed data quality management practices, including rules, monitoring, and issue resolution
- Work with the Data Platforms and Governance teams to ensure data quality controls are implemented effectively at source
- Drive improvement in data accuracy, consistency, and reliability across priority domains
- Establish and maintain enterprise capabilities for metadata management, data lineage, and data cataloguing
- Improve discoverability, understanding, and usability of data assets
- Ensure data is clearly defined, accessible, and aligned…
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