Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That’s why we cover the entire supply chain with unparalleled breadth and depth, backed by over 50 years’ experience. Our team of over 2,400 experts, operating across 30 global locations, are enabling customers’ decisions through real-time analytics, consultancy, events and thought leadership. Together, we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most.<a href="https://www.woodmac.com/">WoodMac.com</a><a href="https://www.youtube.com/watch?v=Y4AVwhQJj_w&amp;t=10s">Wood Mackenzie Brand Video</a>Wood Mackenzie Values<ul><li>Inclusive – we succeed together</li><li>Trusting – we choose to trust each other</li><li>Customer committed – we put customers at the heart of our decisions</li><li>Future Focused – we accelerate change</li><li>Curious – we turn knowledge into action</li></ul>Role PurposeAs Data Owner for the corporate data team, you will deliver high-quality datasets for corporate products by collaborating across Data, Research, and Product teams. You will understand client workflows, contribute to the data roadmap, and solve complex data challenges to drive commercial success. Main Responsibilities<ul><li>Together with Data, Product and Research agree the best approach to deliver our data roadmap and vision</li><li>Influence and engage with the corporate team and wider stakeholders</li><li>The ability to problem-solve data and technical data related issues</li><li>Lead data transformation projects and deliver new datasets efficiently</li><li>Collaborate with stakeholders to ensure timely delivery of quality data and robust workflows</li><li>Provide governance, definitions, and conceptual models for the Lens Data Model</li><li>Define and maintain data standards for cleansing, completeness, and accuracy across corporate dataset</li><li>Pilot and implement AI/ML solutions for data cleansing, validation, and anomaly detection</li><li>Explore predictive analytics to anticipate data quality issues and client needs</li><li>Document processes to enable migration from legacy systems</li><li>Foster agile, collaborative culture across data domains and business units</li></ul> About You<ul><li>Experienced in engaging diverse stakeholders to understand data needs</li><li>Excellent communicator who can influence across teams and leadership levels</li><li>Strong relationship builder with internal teams and external clients</li><li>Interest in the natural energies industry with commercial acumen</li><li>Ability to translate AI capabilities into practical business solutions</li></ul>Equal OpportunitiesWe are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at <a href="http://www.eeoc.gov/">www.eeoc.gov</a> If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.

In the middle of the energy transition, businesses and governments are faced with significant challenges. But the pace and scale of change mean every decision is made&nbsp;under mounting pressure.&nbsp; Now, more than ever, companies need reliable data, analytics and actionable insight. Wood Mackenzie is the&nbsp;leading global provider of data and analytics solutions&nbsp;for the renewables, energy and natural resources sectors . Wood Mackenzie&rsquo;s services&nbsp;include data, analytics, insight, events and consultancy.&nbsp; A trusted partner for over 50 years, Wood Mackenzie&rsquo;s team has over 2,300 experts across more than 30 global&nbsp;locations who cover the entire supply chain. Wood Mackenzie&rsquo;s data and analytics empowers energy producers, governments and financial institutions to be confident in&nbsp;their investment decisions in the face of rapidly evolving markets. Part of the Veritas group.

Senior Data Owner

Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That’s why we cover the entire supply chain with unparalleled breadth and depth, backed by over 50 years’ experience. Our team of over 2,400 experts, operating across 30 global locations, are enabling customers’ decisions through real-time analytics, consultancy, events and thought leadership. Together, we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most.<a href="https://www.woodmac.com/">WoodMac.com</a><a href="https://www.youtube.com/watch?v=Y4AVwhQJj_w&amp;t=10s">Wood Mackenzie Brand Video</a>Wood Mackenzie Values<ul><li>Inclusive – we succeed together</li><li>Trusting – we choose to trust each other</li><li>Customer committed – we put customers at the heart of our decisions</li><li>Future Focused – we accelerate change</li><li>Curious – we turn knowledge into action</li></ul>Role PurposeAs Data Owner for the corporate data team, you will deliver high-quality datasets for corporate products by collaborating across Data, Research, and Product teams. You will understand client workflows, contribute to the data roadmap, and solve complex data challenges to drive commercial success.&nbsp;Main Responsibilities<ul><li>Together with Data, Product and Research agree the best approach to deliver our data roadmap and vision</li><li>Influence and engage with the corporate team and wider stakeholders</li><li>The ability to problem-solve data and technical data related issues</li><li>Lead data transformation projects and deliver new datasets efficiently</li><li>Collaborate with stakeholders to ensure timely delivery of quality data and robust workflows</li><li>Provide governance, definitions, and conceptual models for the Lens Data Model</li><li>Define and maintain data standards for cleansing, completeness, and accuracy across corporate dataset</li><li>Pilot and implement AI/ML solutions&nbsp;for data cleansing, validation, and anomaly detection</li><li>Explore predictive analytics&nbsp;to anticipate data quality issues and client needs</li><li>Document processes to enable migration from legacy systems</li><li>Foster agile, collaborative culture across data domains and business units</li></ul>&nbsp;About You<ul><li>Experienced in engaging diverse stakeholders to understand data needs</li><li>Excellent communicator who can influence across teams and leadership levels</li><li>Strong relationship builder with internal teams and external clients</li><li>Interest in the natural energies industry with commercial acumen</li><li>Ability to translate AI capabilities into practical business solutions</li></ul>Equal OpportunitiesWe are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at <a href="http://www.eeoc.gov/">www.eeoc.gov</a>&nbsp;If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.&nbsp;&nbsp;

Senior Data Owner

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Wood Mackenzie

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