Group Data Governance Lead

Group Data Governance Lead

Role Overview: The Group data governance lead is responsible for ensuring data accuracy, quality and compliance to prevent potential risks associated with inaccurate or mishandled data. Ensures data is trusted and used responsibly across the organisation. This role involves working closely with a community of data stewards to coordinate data and analytics stewardship activities for consistency and leverage.

The Group data governance lead also plays a critical role in managing data-related risks (such as those pertaining to security, access and privacy) and collaborates with leaders such as the DPO and Head of Infosec to uphold data confidentiality, integrity and availability within the organization.

• Lead Data Governance Programme: Design, implement, and oversee a global data governance framework to improve data quality and consistency across the Spirax Group and enable key projects such as ERP consolidation to be successful.
• Drive Data Quality Initiatives: Establish KPIs, baseline measurements, and lead projects to monitor, report, and enhance data quality.
• Governance Leadership: Chair the Data Governance Council and provide guidance to Data Owners, Stewards, and Custodians; define roles, responsibilities, and training needs.
• Policy and Standards Enforcement: Ensure compliance with governance policies, regulatory requirements, and data privacy/security standards globally.
• Stakeholder Engagement: Build strong relationships with business units to promote data literacy and embed governance practices.
• Platform and Process Implementation: Roll out data governance tools and MDM solutions; establish decision-making forums, escalation paths, and issue resolution processes.
• Enterprise Data Model Development: Collaborate to identify critical data entities for mastering and quality improvement.
• Risk Management: Track and mitigate data-related risks, ensuring integrity and compliance across geographies.
• Collaboration: Work closely with Enterprise Data Architect, Heads of Data, DPO, and Infosec teams to uphold data integrity and security. Liaise with technology partners and manage DG vendors.
• Continuous Improvement: Identify opportunities for data augmentation, manage multilingual data standards, and lead data literacy programs.
• Develop KPIs: Develop KPIs and reports to measure governance maturity and data quality.

• Experience in designing and implementing enterprise-wide data governance frameworks, policies and standards in global, complex organisations.
• Experience in defining governance roles and responsibilities and identifying training needs.
• Previous experience leading cross-functional governance committees.
• Experience of integrating MDM tools or services into a data platform to create and maintain golden records, and establishing and managing MDM Operations.
• Strong technical knowledge in measuring and tracking data quality, with the ability to communicate these concepts to colleagues at various levels.
• Experience collaborating with data architects and engineering teams.
• Familiarity with EDM and identification of critical data entities.
• Understanding of global data privacy, residency, retention and compliance requirements.
• A bachelor's degree in Computer Science, IT, information management, analytics, business administration, or another relevant field is preferred.
• At least 7 years of experience working with data, including 4 or more years focused on data governance.

• Demonstrate Company Core Values at all times
• Technical:
  • Familiarity with Azure Databricks is an advantage.
  • Hands-on deep competency with at least one data governance platform and MDM tool, for example Ataccama, Profisee or Clued In.
  • Experience creating Power BI reports is desirable; proficiency with Excel is mandatory.
  • Ability to set up data catalogues, glossaries, and data governance tools.
• Analytical and keen problem-solver:
  • Ability to identify and establish appropriate KPIs for data quality.
  • Analytical skills for understanding data formats, masks, and designing appropriate approaches for multilingual data management.
  • Curiosity…