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 Purpose
The 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 lifecycles, not applied retrospectively
- Drive adoption of governance practices as part of everyday ways of working
Data Ownership and Stewardship
- 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
Data Quality and Trust
- 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
Metadata, Lineage, and Data Transparency
- 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 to business context
Governance Integration with AI and Analytics
- Work closely with the Data & AI Solutions and Insight team to ensure governance supports AI and analytics use cases at scale
- Ensure data used in AI and analytics is well-governed, understood, and compliant
- Enable responsible use of data in decision-making and automated processes
Risk, Compliance, and Responsible Data Use
- Ensure governance practices align with data privacy, security, and regulatory requirements
- Support audits, regulatory reviews, and internal assurance activities
- Promote responsible and ethical use of data across the organisation
Stakeholder Engagement and Culture Change
- Act as a trusted advisor to business and technology teams on data governance, ownership, and quality
- Promote a culture of data accountability, transparency, and continuous improvement
- Ensure governance is seen as enabling better outcomes, not creating unnecessary overhead
Continuous Improvement and Performance Insight
- Define and track key metrics for data quality, ownership, and governance adoption
- Provide clear, actionable reporting on governance effectiveness and risk
- Continuously improve governance processes, tooling, and ways of working based on feedback and evolving needs
Leadership Contribution
- Contribute to the evolution of data and AI capability across Laing O'Rourke
- Act as a visible and credible technical leader within the IT team
Key Measures of Success
Success in the role will be demonstrated through:
- Strong adoption of enterprise data governance practices across business and IT teams
- Improved data quality, consistency, and trust across priority data domains
- Clearly defined and effective data ownership and stewardship across the company
- Increased discoverability, transparency, and usability of enterprise data assets
- Governance embedded into delivery processes, supporting analytics and AI at scale
- Positive stakeholder feedback on the practicality and value of governance
- Reduced data-related risk and improved compliance with regulatory and security requirements
Qualifications and Experience
Essential skills and experience:
- Proven experience in data governance, data management, or data quality roles within complex organisational environments
- Strong understanding of data governance principles including data ownership, stewardship, metadata, lineage, and quality management
- Experience implementing and embedding data governance frameworks and operating models in practice
- Strong understanding of data privacy, security, and regulatory requirements
- Experience working with data platforms, analytics, or AI delivery teams, ensuring governance supports real use cases
- Ability to translate governance concepts into practical, business-friendly approaches that drive adoption
- Strong stakeholder engagement and influencing skills, with the ability to work effectively across business and technology teams
- Excellent communication skills, with the ability to explain complex concepts in clear, outcome-focused language
Desirable experience:
- Experience supporting analytics, AI, or advanced data initiatives at scale
- Exposure to data cataloguing, metadata management, or data quality tooling
- Experience operating in organisations undergoing data or digital transformation
- Familiarity with construction, manufacturing, or other asset-intensive industries
About Us
Laing O'Rourke are an international engineering and construction company delivering state-of-the-art infrastructure and buildings projects for clients in the UK, Middle East and Australia.
Certainty, reliability, quality – this is what our clients want. And at Laing O'Rourke, we have more than 150 years of experience delivering it. Laing O'Rourke's story is one of energy, passion, ambition, people and teamwork. We harness the power of our experience, stretching back over a century and a half to deliver certainty for our clients
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