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Wood Mackenzie

Data Owner

Posted 12 Days Ago
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In-Office
2 Locations
Mid level
In-Office
2 Locations
Mid level
The Data Owner manages enterprise master datasets, collaborates with teams on data structure, designs data models, and ensures data quality and utility.
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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.com

Wood Mackenzie Brand Video

Wood Mackenzie Values

  • Inclusive – we succeed together
  • Trusting – we choose to trust each other
  • Customer committed – we put customers at the heart of our decisions
  • Future Focused – we accelerate change
  • Curious – we turn knowledge into action

Key responsibilities
  • Ownership of Enterprise Master Datasets (EMD)
  • Liaise with SMEs and conduct research to build and provide business knowledge for the EMD owned
  • Collaborate with segment data owners to understand:
    • Value of creating an EMD
    • Content and structure requirements of EMD
    • Understanding of existing data sources and systems
  • Design data models for EMD
  • Define tasks and groom backlog for EMDM Data Stewards to prepare data to populate EMD
  • Collaborate with Data Engineers to design data pipelines, storage, and surfacing of data
  • Define business logic to be included in data pipelines and surfacing of data
  • Use influencing and project management skills to maximise adoption of EMD
  • Create documentation to provide clear understanding of processes in collaboration with the Data Stewardship team
  • Collaborate with Data Engineers and Data Stewardship team to design BAU processes
  • Train and build up BAU function carried out by Data Stewards and Data Engineers
  • Investigate and independently research ways for improving data through the mastering and connecting of datasets
  • Investigate and independently research potential resources for providing data, and design processes to format and integrate data into EMD
  • Design views/tables to surface relevant data from EMD to the business
  • Create roadmaps for creation, adoption, and maintenance of master datasets
  • Set standards and ensure the quality of data within EMD
  • Critically think and ensure maximum value is being provided by EMDs for our business needs
Knowledge and experience
  • Strong problem solving and data investigation skills
  • Strong technical foundation with proven experience in delivering data transformation projects
  • MDM expertise
  • Experience and skills in coaching and mentoring individuals through change
  • Experience in data quality management and related business processes
  • Hands on expertise with agile methodologies, product delivery and data analysis
  • Understanding of how Python and SQL can be utilised for Data delivery
  • Good stakeholder engagement and communication skills
  • Solid understanding of data modelling techniques and exploitation and BI tools
  • SME knowledge of master data domains (companies, ports etc.) 

Equal Opportunities

We 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.gov 

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.  

Top Skills

Python
SQL

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