<div><span style="font-family:'times new roman' , times;font-size:11.0pt;"><b>Do you want to work to make Power for Good?</b></span></div><div><span style="font-family:'times new roman' , times;font-size:11.0pt;"><b></b></span></div><div><span style="font-size:11.0pt;font-family:'times new roman' , times;">We're the world's largest independent renewable energy company. We're guided by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy.</span></div><div><span style="font-size:11.0pt;font-family:'times new roman' , times;">We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them.</span></div><div><span style="font-size:11.0pt;font-family:'times new roman' , times;"><br>RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally.</span></div><div><span style="font-family:'times new roman' , times;font-size:11.0pt;"> </span></div><div><span style="font-size:11.0pt;font-family:'times new roman' , times;">Our competitive package offers a wide range of benefits and rewards. </span></div><div><span style="font-size:11.0pt;font-family:'times new roman' , times;"> <br></span><hr><p><span style="font-family:'times new roman' , times;font-size:11.0pt;"><strong>Data and AI Governance Lead</strong></span></p><p><span style="font-family:'times new roman' , times;font-size:11.0pt;"><strong>Job Summary</strong></span></p><p><span style="font-family:'times new roman' , times;font-size:11.0pt;">The Data and AI Governance Lead owns the governance framework for enterprise data and AI-enabled analytics across Azure, Fabric, and Purview. The role ensures data is classified, trusted, controlled, auditable, and safe for consumption by reporting, analytics, and AI tools — and that the platform is secure with continuously improving data quality.</span></p><p><span style="font-family:'times new roman' , times;font-size:11.0pt;">The postholder works with business data owners, IT security, architecture, engineering, and analytics teams to embed governance into ways of working, tooling, and technical delivery.</span></p><hr><p><span style="font-family:'times new roman' , times;font-size:11.0pt;"><strong>Key Accountabilities</strong></span></p><ul><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Own and mature the data and AI governance framework across Fabric, Purview, and the AI-enabled analytics platform; author and maintain policies and standards for data quality, metadata, lineage, retention, privacy, and ethical data and AI usage.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Implement and own Purview catalogue, classification, lineage, glossary, data ownership, and certified dataset processes; drive master and reference data alignment of definitions, KPIs, and semantic standards across domains.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Define and operate governance controls for AI-enabled data consumption, including the AI use case register covering risk rating, approval status, required controls, and review dates; establish the control checklist required before any AI use case goes live.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Define rules for what data AI tools can and cannot access; ensure AI tools only consume approved, certified, classified, and traceable data with appropriate controls for prompt handling, output handling, personal data, sensitive data, and commercially sensitive data.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Own audit evidence for AI-enabled data products including data source classification, ownership, access model, metric definition, lineage, and approval history.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Implement data quality management including critical data elements, rule sets, monitoring, issue management, and remediation workflows; establish data quality standards, stewardship, and data owner accountability.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Partner with cyber, legal, privacy, P&amp;C, and business data owners to ensure AI use of enterprise data is safe, compliant, and auditable; partner with Cyber/InfoSec on data classification, access control, segregation of duties, and audit readiness.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Support responsible AI practices including human oversight, explainability, traceability, and appropriate use of AI-generated outputs; support AI/ML governance including model risk controls, data suitability checks, and bias and ethical considerations.</span></li></ul><hr><p><span style="font-family:'times new roman' , times;font-size:11.0pt;"><strong>Skills and Competencies</strong></span></p><ul><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Strong hands-on expertise in Microsoft Purview: metadata management, classification, glossary, lineage, and certified dataset governance.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Strong understanding of AI governance, responsible AI, AI risk assessment, and AI control frameworks; ability to classify AI use cases by risk and define appropriate pre-go-live controls.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Ability to translate AI governance principles into practical technical controls implementable by engineers and architects, including prompt governance, output governance, data access controls, and audit evidence.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Strong understanding of personal, sensitive, employee, and commercially sensitive data and access restrictions.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Data quality framework design, data ownership, stewardship, and issue management; experience with profiling, rule design, monitoring, and root cause analysis.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Knowledge of GDPR and PII controls with practical implementation experience in Azure.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Strong stakeholder management across data, cyber, legal, privacy, P&amp;C, and business domains; ability to challenge unsafe AI use cases and translate between technical and business audiences.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Experience embedding governance into delivery pipelines including CI/CD, data contracts, and automated checks.</span></li></ul><hr><p><span style="font-family:'times new roman' , times;font-size:11.0pt;"><strong>Qualifications and Experience</strong></span></p><p><span style="font-family:'times new roman' , times;font-size:11.0pt;"><strong>Essential</strong></span></p><ul><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Bachelor's degree in data analytics, data governance, data science, or a related discipline.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Significant experience leading technical data governance in Microsoft Azure with a proven track record of improving data quality and stewardship using modern tooling.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Extensive hands-on experience with Microsoft Purview across an Azure data platform, with evidenced improvements to data quality and standardisation in a global context.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Experience governing sensitive enterprise data including personal data, employee data, and business-critical reporting data.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Experience in AI governance, responsible AI, AI risk management, or AI data access controls; familiarity with frameworks such as NIST AI Risk Management, ISO AI Management standards, or equivalent.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Practical implementation of international data standardisation frameworks for harmonising definitions, taxonomies, and formats across regions.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Experience automating governance using modern tooling and embedding controls into data platform delivery.</span></li></ul><p><span style="font-family:'times new roman' , times;font-size:11.0pt;"><strong>Desirable</strong></span></p><ul><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Relevant certifications such as DAMA/CDMP, DCAM, privacy, cloud, AI governance, or equivalent.</span></li><li style="font-family:'times new roman' , times;font-size:11.0pt;"><span style="font-family:'times new roman' , times;font-size:11.0pt;">Experience with AI/ML and data science platform use cases with comprehensive technical governance.</span></li></ul></div><div><span style="font-size:11.0pt;font-family:'times new roman' , times;">At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.</span></div><div><span style="font-family:'times new roman' , times;font-size:11.0pt;"> </span></div><div><span style="font-size:11.0pt;font-family:'times new roman' , times;">#LI-ZI1</span></div>

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<div id="ember58" class="ember-view organization-about-module__content-consistant-cards-description"><span class="lt-line-clamp__raw-line">RES is the world&rsquo;s largest independent renewable energy company, working across 24 countries and active in wind, solar, energy storage, biomass, hydro, green hydrogen, transmission, and distribution. An industry innovator for over 40 years, RES has delivered more than 24 GW of renewable energy projects across the globe and plans to bring more than 22 GW of new capacity online in the next five years. As a service provider, RES has the skills and experience in asset management, operations and maintenance (O&amp;M), and spare parts &ndash; supporting 41GW of renewable assets across 1,300 sites. RES brings to the market a range of purposeful, practical technology-based products and digital solutions designed to maximise investment and deployment of renewable energy. RES is the power behind a clean energy future where everyone has access to affordable zero carbon energy bringing together global experience, passion, and the innovation of its 4,500 people to transform the way energy is generated, stored and supplied.</span></div>
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Data and AI Governance Technical Lead

<div><span><b>Do you want to work to make Power for Good?</b></span></div><div><span><b></b></span></div><div><span>We're the world's largest independent renewable energy company. We're guided by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy.</span></div><div><span>We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them.</span></div><div><span><br />RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally.</span></div><div><span> </span></div><div><span>Our competitive package offers a wide range of benefits and rewards. </span></div><div><span> <br /></span><hr /><p><span><strong>Data and AI Governance Lead</strong></span></p><p><span><strong>Job Summary</strong></span></p><p><span>The Data and AI Governance Lead owns the governance framework for enterprise data and AI-enabled analytics across Azure, Fabric, and Purview. The role ensures data is classified, trusted, controlled, auditable, and safe for consumption by reporting, analytics, and AI tools — and that the platform is secure with continuously improving data quality.</span></p><p><span>The postholder works with business data owners, IT security, architecture, engineering, and analytics teams to embed governance into ways of working, tooling, and technical delivery.</span></p><hr /><p><span><strong>Key Accountabilities</strong></span></p><ul><li><span>Own and mature the data and AI governance framework across Fabric, Purview, and the AI-enabled analytics platform; author and maintain policies and standards for data quality, metadata, lineage, retention, privacy, and ethical data and AI usage.</span></li><li><span>Implement and own Purview catalogue, classification, lineage, glossary, data ownership, and certified dataset processes; drive master and reference data alignment of definitions, KPIs, and semantic standards across domains.</span></li><li><span>Define and operate governance controls for AI-enabled data consumption, including the AI use case register covering risk rating, approval status, required controls, and review dates; establish the control checklist required before any AI use case goes live.</span></li><li><span>Define rules for what data AI tools can and cannot access; ensure AI tools only consume approved, certified, classified, and traceable data with appropriate controls for prompt handling, output handling, personal data, sensitive data, and commercially sensitive data.</span></li><li><span>Own audit evidence for AI-enabled data products including data source classification, ownership, access model, metric definition, lineage, and approval history.</span></li><li><span>Implement data quality management including critical data elements, rule sets, monitoring, issue management, and remediation workflows; establish data quality standards, stewardship, and data owner accountability.</span></li><li><span>Partner with cyber, legal, privacy, P&amp;C, and business data owners to ensure AI use of enterprise data is safe, compliant, and auditable; partner with Cyber/InfoSec on data classification, access control, segregation of duties, and audit readiness.</span></li><li><span>Support responsible AI practices including human oversight, explainability, traceability, and appropriate use of AI-generated outputs; support AI/ML governance including model risk controls, data suitability checks, and bias and ethical considerations.</span></li></ul><hr /><p><span><strong>Skills and Competencies</strong></span></p><ul><li><span>Strong hands-on expertise in Microsoft Purview: metadata management, classification, glossary, lineage, and certified dataset governance.</span></li><li><span>Strong understanding of AI governance, responsible AI, AI risk assessment, and AI control frameworks; ability to classify AI use cases by risk and define appropriate pre-go-live controls.</span></li><li><span>Ability to translate AI governance principles into practical technical controls implementable by engineers and architects, including prompt governance, output governance, data access controls, and audit evidence.</span></li><li><span>Strong understanding of personal, sensitive, employee, and commercially sensitive data and access restrictions.</span></li><li><span>Data quality framework design, data ownership, stewardship, and issue management; experience with profiling, rule design, monitoring, and root cause analysis.</span></li><li><span>Knowledge of GDPR and PII controls with practical implementation experience in Azure.</span></li><li><span>Strong stakeholder management across data, cyber, legal, privacy, P&amp;C, and business domains; ability to challenge unsafe AI use cases and translate between technical and business audiences.</span></li><li><span>Experience embedding governance into delivery pipelines including CI/CD, data contracts, and automated checks.</span></li></ul><hr /><p><span><strong>Qualifications and Experience</strong></span></p><p><span><strong>Essential</strong></span></p><ul><li><span>Bachelor's degree in data analytics, data governance, data science, or a related discipline.</span></li><li><span>Significant experience leading technical data governance in Microsoft Azure with a proven track record of improving data quality and stewardship using modern tooling.</span></li><li><span>Extensive hands-on experience with Microsoft Purview across an Azure data platform, with evidenced improvements to data quality and standardisation in a global context.</span></li><li><span>Experience governing sensitive enterprise data including personal data, employee data, and business-critical reporting data.</span></li><li><span>Experience in AI governance, responsible AI, AI risk management, or AI data access controls; familiarity with frameworks such as NIST AI Risk Management, ISO AI Management standards, or equivalent.</span></li><li><span>Practical implementation of international data standardisation frameworks for harmonising definitions, taxonomies, and formats across regions.</span></li><li><span>Experience automating governance using modern tooling and embedding controls into data platform delivery.</span></li></ul><p><span><strong>Desirable</strong></span></p><ul><li><span>Relevant certifications such as DAMA/CDMP, DCAM, privacy, cloud, AI governance, or equivalent.</span></li><li><span>Experience with AI/ML and data science platform use cases with comprehensive technical governance.</span></li></ul></div><div><span>At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.</span></div><div><span> </span></div><div><span>#LI-ZI1</span></div>

Data and AI Governance Technical Lead

About the Job

About the Company

Renewable Energy Systems

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