<div><b><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">Do you want to work to make Power for Good?</span></b></div><div><b><span style="font-size:11.0pt;font-family:Calibri , sans-serif;"></span></b></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">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:Calibri , sans-serif;">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:Calibri , sans-serif;">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> </div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">Our competitive package offers a wide range of benefits and rewards. </span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;"> </span></div><div><b><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">Job Summary</span></b></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">The Group Lead for Data Governance owns and matures the enterprise data governance framework across domains (e.g., Finance, HR and core operational data). Establishes clear data ownership, policies, standards, controls and assurance so that reporting, analytics and AI/ML use cases are trusted, compliant and auditable.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">They work with business data owners/stewards, IT security, architecture, engineering and analytics teams to embed governance into ways of working, tooling and project delivery.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">The data governance lead is responsible for ensuring the data and analytics data platform, analytics and reporting are secure and that data quality is continuously improved across core global data domains, particularly focusing on corporate services data.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;"> </span></div><div><b><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">Accountabilities</span></b></div><div><b><span style="font-size:11.0pt;font-family:Calibri , sans-serif;"></span></b></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">Key accountabilities include but are not limited to:</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Define and run the global data governance operating model.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Stand up and maintain domain data ownership and stewardship; coach and enable stewards and data product owners.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Author and maintain policies/standards for data quality, metadata, lineage, retention, privacy, and ethical data/AI usage.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Implement data quality management: critical data elements, rule sets, monitoring, issue management and remediation workflow.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Drive master/reference data principles and alignment of definitions, KPIs and semantic standards across domains.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Partner with Cyber/InfoSec on data classification, access control, segregation of duties, and audit readiness.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Own governance tooling and processes (catalogue, glossary, lineage, approvals) and ensure adoption.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Support AI/ML governance: model risk controls, data suitability checks, bias/ethical considerations, and monitoring.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Produce governance reporting for executives (compliance, quality trends, maintain and control risks and issues, lead controls and remediation).</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;"> </span></div><div><b><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">Skills</span></b></div><div><b><span style="font-size:11.0pt;font-family:Calibri , sans-serif;"></span></b></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">The successful candidate will need to demonstrate:</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Strong knowledge of data governance, data management and controls (DCAM/DAMA principles or equivalent).</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Hands-on understanding of metadata management, data catalogues, lineage, business glossaries and stewardship workflows.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Data quality engineering concepts: profiling, rule design, monitoring, incident triage, root cause analysis.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Privacy and regulatory awareness (e.g., GDPR) and practical implementation of PII controls and minimisation.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Ability to translate between technical and business audiences; influence without authority at global scale.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Experience embedding governance into delivery pipelines (CI/CD, data contracts, automated checks).</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Working knowledge of AI and machine learning and related controls.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Strong facilitation, stakeholder management, and operating-model design skills.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;"> </span></div><div><b><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">Qualifications and Experience</span></b></div><div><b><span style="font-size:11.0pt;font-family:Calibri , sans-serif;"></span></b></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Bachelor’s degree in Data Analytics, Data Science, or a related field</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Significant experience leading data governance or data management programmes in complex, global organisations.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Proven track record establishing global stewardship and data ownership and improving data quality outcomes.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Extensive experience with modern Azure data platforms in a global context with multiple complex integrations and source systems (cloud data Lakehouse/warehouse patterns) and governance tooling (catalogue/lineage – specifically Microsoft Purview).</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Experience in implementing Microsoft Purview across an Azure Data Platform with evidence improvements to data quality, standardisation of corporate services data in a global context.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Relevant qualifications/certifications beneficial (e.g., DAMA/CDMP, DCAM, privacy certification), or equivalent experience.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· In depth knowledge and practical implementation of compliance frameworks and global employment regulations.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Knowledge of international data standardization frameworks for harmonizing data definitions, taxonomies, and formats across regions, specifically in relation to IFS (RES’s enterprise ERP system) and must have extensive experience in financial and human resources data governance in a global context.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">· Experience in AI/ML use cases and governance requirements.</span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;"> </span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;"> </span></div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">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> </div><div><span style="font-size:11.0pt;font-family:Calibri , sans-serif;">#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 Governance Lead

<div><b><span>Do you want to work to make Power for Good?</span></b></div><div><b><span></span></b></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>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> </div><div><span>Our competitive package offers a wide range of benefits and rewards. </span></div><div><span> </span></div><div><b><span>Job Summary</span></b></div><div><span>The Group Lead for Data Governance owns and matures the enterprise data governance framework across domains (e.g., Finance, HR and core operational data). Establishes clear data ownership, policies, standards, controls and assurance so that reporting, analytics and AI/ML use cases are trusted, compliant and auditable.</span></div><div><span>They work with business data owners/stewards, IT security, architecture, engineering and analytics teams to embed governance into ways of working, tooling and project delivery.</span></div><div><span>The data governance lead is responsible for ensuring the data and analytics data platform, analytics and reporting are secure and that data quality is continuously improved across core global data domains, particularly focusing on corporate services data.</span></div><div><span> </span></div><div><b><span>Accountabilities</span></b></div><div><b><span></span></b></div><div><span>Key accountabilities include but are not limited to:</span></div><div><span>· Define and run the global data governance operating model.</span></div><div><span>· Stand up and maintain domain data ownership and stewardship; coach and enable stewards and data product owners.</span></div><div><span>· Author and maintain policies/standards for data quality, metadata, lineage, retention, privacy, and ethical data/AI usage.</span></div><div><span>· Implement data quality management: critical data elements, rule sets, monitoring, issue management and remediation workflow.</span></div><div><span>· Drive master/reference data principles and alignment of definitions, KPIs and semantic standards across domains.</span></div><div><span>· Partner with Cyber/InfoSec on data classification, access control, segregation of duties, and audit readiness.</span></div><div><span>· Own governance tooling and processes (catalogue, glossary, lineage, approvals) and ensure adoption.</span></div><div><span>· Support AI/ML governance: model risk controls, data suitability checks, bias/ethical considerations, and monitoring.</span></div><div><span>· Produce governance reporting for executives (compliance, quality trends, maintain and control risks and issues, lead controls and remediation).</span></div><div><span> </span></div><div><b><span>Skills</span></b></div><div><b><span></span></b></div><div><span>The successful candidate will need to demonstrate:</span></div><div><span>· Strong knowledge of data governance, data management and controls (DCAM/DAMA principles or equivalent).</span></div><div><span>· Hands-on understanding of metadata management, data catalogues, lineage, business glossaries and stewardship workflows.</span></div><div><span>· Data quality engineering concepts: profiling, rule design, monitoring, incident triage, root cause analysis.</span></div><div><span>· Privacy and regulatory awareness (e.g., GDPR) and practical implementation of PII controls and minimisation.</span></div><div><span>· Ability to translate between technical and business audiences; influence without authority at global scale.</span></div><div><span>· Experience embedding governance into delivery pipelines (CI/CD, data contracts, automated checks).</span></div><div><span>· Working knowledge of AI and machine learning and related controls.</span></div><div><span>· Strong facilitation, stakeholder management, and operating-model design skills.</span></div><div><span> </span></div><div><b><span>Qualifications and Experience</span></b></div><div><b><span></span></b></div><div><span>· Bachelor’s degree in Data Analytics, Data Science, or a related field</span></div><div><span>· Significant experience leading data governance or data management programmes in complex, global organisations.</span></div><div><span>· Proven track record establishing global stewardship and data ownership and improving data quality outcomes.</span></div><div><span>· Extensive experience with modern Azure data platforms in a global context with multiple complex integrations and source systems (cloud data Lakehouse/warehouse patterns) and governance tooling (catalogue/lineage – specifically Microsoft Purview).</span></div><div><span>· Experience in implementing Microsoft Purview across an Azure Data Platform with evidence improvements to data quality, standardisation of corporate services data in a global context.</span></div><div><span>· Relevant qualifications/certifications beneficial (e.g., DAMA/CDMP, DCAM, privacy certification), or equivalent experience.</span></div><div><span>· In depth knowledge and practical implementation of compliance frameworks and global employment regulations.</span></div><div><span>· Knowledge of international data standardization frameworks for harmonizing data definitions, taxonomies, and formats across regions, specifically in relation to IFS (RES’s enterprise ERP system) and must have extensive experience in financial and human resources data governance in a global context.</span></div><div><span>· Experience in AI/ML use cases and governance requirements.</span></div><div><span> </span></div><div><span> </span></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> </div><div><span>#LI-ZI1</span></div>

Data Governance Lead

About the Job

About the Company

Renewable Energy Systems

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