2 of 2 Remote Data Governance Jobs in Warwickshire

We are seeking an experienced Interim Head of Data & AI to join a major enterprise-scale organisation in the energy sector. This is a critical leadership role operating at C-Suite level , responsible for stabilising and advancing the company’s Data, AI, and Analytics strategy during a key leadership transition. You will lead the organisation’s data governance, compliance, AI adoption, and analytics function , working closely with senior leadership and Board stakeholders to ensure strategic alignment and delivery of measurable business impact. Key Responsibilities: Develop and execute the enterprise-wide Data & AI strategy Oversee data governance, information assurance, compliance, and risk management Lead adoption of AI-powered insights and automation into business … processes Engage with C-Level executives and Board members to align data initiatives with business goals Provide leadership and stability during a leadership transition phase Requirements: Proven experience as a Head of Data, Head of Data & AI, Chief Data Officer, or equivalent senior data leadership role Demonstrated ability to operate confidently at Board and C More ❯

identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Join Our Dynamic Team as an SAP Data Architect! Are you ready to take your career to the next level? Our client, a leading organisation in the utilities sector, is on the lookout for a talented SAP … Data Architect to join their innovative team for a 6-month temporary contract. If you are passionate about data and eager to make a significant impact, this is the opportunity for you! Role: SAP Data Architect Duration: 6 Months (extension options) Location: Warwick (Hybrid 2 days a week on-site) Rate: £800 per day (umbrella) Key Responsibilities … In this exciting role, you will: analyse complex datasets to uncover trends, patterns, and valuable insights. Capture and maintain comprehensive data models that align with business needs. Investigate and resolve data-related issues and discrepancies with precision. Map data flows across various systems and processes, ensuring seamless integration. Contribute to the development and implementation of robust analytics More ❯