Senior Data Owner

1 day ago

Edinburgh, United Kingdom Wood Mackenzie Full time

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.WoodMac.comWood Mackenzie Brand VideoWood Mackenzie ValuesInclusive – we succeed togetherTrusting – we choose to trust each otherCustomer committed – we put customers at the heart of our decisionsFuture Focused – we accelerate changeCurious – we turn knowledge into actionRole 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 ResponsibilitiesTogether with Data, Product and Research agree the best approach to deliver our data roadmap and visionInfluence and engage with the corporate team and wider stakeholdersThe ability to problem-solve data and technical data related issuesLead data transformation projects and deliver new datasets efficientlyCollaborate with stakeholders to ensure timely delivery of quality data and robust workflowsProvide governance, definitions, and conceptual models for the Lens Data ModelDefine and maintain data standards for cleansing, completeness, and accuracy across corporate datasetPilot and implement AI/ML solutions for data cleansing, validation, and anomaly detectionExplore predictive analytics to anticipate data quality issues and client needsDocument processes to enable migration from legacy systemsFoster agile, collaborative culture across data domains and business unitsAbout YouExperienced in engaging diverse stakeholders to understand data needsExcellent communicator who can influence across teams and leadership levelsStrong relationship builder with internal teams and external clientsInterest in the natural energies industry with commercial acumenAbility to translate AI capabilities into practical business solutionsEqual 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 www.eeoc.govIf 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.

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