Data Management Lead

Position description

The Data Management Lead plays a central role in embedding data management standards, practices and governance across ESB. The role develops the Data Management Strategy and Framework in ESB and drives data cataloguing, data quality, ownership, the principle of data as a product across its business units.

The Data Management Lead is a senior role within ESB’s Data & AI Enablement Team, responsible for leading the implementation and adoption of enterprise data management practices across ESB. The role supports the development of a consistent approach to data governance, data ownership, stewardship, metadata management, data quality and data lifecycle management, enabling data to be managed as a strategic enterprise asset.

Working closely with business data owners, data stewards, technology teams, compliance functions and delivery teams, the Data Management Lead will act as a trusted advisor and change agent, helping business units improve their data management maturity and embed best practice across the organisation.

The role will be a key contributor to the Data & AI Enablement Team’s mission of establishing the foundations required for trusted data, advanced analytics and AI at scale across ESB.

Key Responsibilities 

• Lead the implementation and continual evolution of ESB’s enterprise data management framework, operating model, standards and governance practices to support strategic business, analytics and AI objectives.
• Establish and embed accountability for data across the organisation by driving the adoption of data domain ownership, stewardship and decision-making responsibilities within business areas.
• Define and oversee the roadmap for data quality, metadata, classification, lineage and lifecycle management, ensuring consistent adoption of enterprise standards and controls.
• Partner with business leaders to identify, prioritise and improve critical data domains and data products, enabling trusted data for operational, regulatory and strategic decision-making.
• Provide leadership, direction and resource management for data management initiatives and capabilities, ensuring the effective allocation of people, skills, tools and third-party support to deliver agreed outcomes.
• Monitor and report on data management maturity, data quality performance and compliance with legal, regulatory and policy requirements, driving remediation and continuous improvement where required.
• Collaborate with Data & AI, Technology and business teams to embed data management requirements into delivery processes, while promoting a culture of ownership, accountability and responsible data use across ESB.

Experience and Qualifications

Essential 

• At least 7 years’ relevant work experience, supported by a third-level qualification in Information Systems, Data Analytics, Computer Science, Business, Engineering, or a related field.
• Experience in Data Architecture, Data Engineering, Data Science or Data Analytics, including implementing data governance and data management frameworks.
• Practical experience using data management platforms, such as Microsoft Purview, Informatica or Collibra, to catalogue and classify data, perform data quality assessments and drive data quality improvements.
• Ability to identify data domains and products relevant to business outcomes.
• Understanding of data ownership and stewardship responsibilities, with experience implementing these practices and managing compliance with relevant data and AI legislation.
• Experience developing data management policies, standards and operating models.
• Strong stakeholder management, influencing, communication and facilitation skills.

Desirable 

• Certification in DAMA-DMBOK or equivalent frameworks.
• Experience in managing data for AI including Agentic AI.
• Hands-on experience working with Microsoft Fabric Platform.
• Knowledge of Microsoft Purview, Microsoft Fabric, Azure Data Lake and Power BI.
• Experience in utilities, energy or regulated industries.
• Experience supporting data product operating models.
• Understanding of AI governance and responsible AI practices.
• Experience leading organisational change initiatives.

Location

This position will be based in ESB Head Office,27 Fitzwilliam Street Lower, Dublin 2.

Smart Working at ESB is designed to make ‘in-person’ time together as purposeful as possible while also enabling the effective use of digital tools and hybrid arrangements to preserve our commitment to flexibility. The successful candidate may work flexibly within the jurisdiction where they have been employed, with attendance at the workplace for in-person collaboration at least two days per week. All Smart Working arrangements are subject to regular review based on the operational requirements of the role, the team, and the business.

Reporting To

Data and AI Enablement Manager

Why Work with Us?

• Opportunity to lead Ireland’s transition to net zero carbon future
• Career development through mentoring and training 
• Corporate Social Responsibility Opportunities
• Sports and Social Clubs
• Networking opportunities
• Credit Union
• Generous Pension
• Access to staff well-being programmes
• Generous parental leave entitlements
• Strong values-based and inclusive culture
• Strong commitment to diversity, equity and inclusion
• Great team environment working to our Core Values: Courageous, Caring, Driven and Trusted

Salary

€71,900 - €84,600 per annum,  depending on experience.

Closing Date

18th November 2026

Interview 

• Accountable and Ethical
• Collaborative
• Growing and Adaptive
• Proactive
• Respectful and Supportive

Notes

Your application will be held in reserve for 6 months should you be suitable for the role.

The successful candidate will be required to evidence their right to work in the Republic of Ireland prior to commencement of employment.