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Data Product Manager

Job in City of Edinburgh, Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: Wood Mackenzie Ltd
Full Time position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Analyst
Job Description & How to Apply Below
Location: City of Edinburgh

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. 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

Main Responsibilities Data Tooling & Infrastructure
  • Own the roadmap and continuous improvement of internal data management tools.
  • Collaborate with engineering and data teams to enhance our data capabilities.
  • Work with engineering to optimize pipelines for performance, reliability and cost-efficiency.
  • Lead initiatives to improve data consistency, interoperability and quality across systems.
Data Discovery
  • Identify and evaluate new data sources to enrich our products.
  • Collaborate and align with the research and modelling teams to balance their needs with external clients.
  • Develop a strategy and roadmap for developing new data sources and enhancing existing ones based on creating new value to clients.
Cross-functional Collaboration
  • Act as the bridge between technical teams and business stakeholders to translate data needs into product requirements.
  • Advocate for data best practices and drive adoption of data products across the organization.
  • Partnering with stakeholders across departments to ensure schema alignment with business needs and technical constraints.
Measurement & Impact
  • Define success metrics for data products and tooling.
  • Monitor usage, performance, and impact, and iterate based on feedback and insights.

We are a hybrid working company and the successful applicant will be expected to be present in the office at least two days per week to foster and contribute to a collaborative environment, but this may be subject to change in the future. Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones.

Key

Skills & Experience
  • Excellent communication and stakeholder management skills.
  • Ability to collaborate with and align a wide range of stakeholders around a shared vision: product, research, data, engineering and senior leadership.
  • Proven experience as a Product Manager, ideally in data or platform-focused role.
  • Familiarity with data pipelines and customer-facing data applications.
  • Analytical mindset with a passion for solving complex data problems.
Preferred Skills
  • Experience with APIs, SQL, Jupyter Notebook.
  • Background in software engineering or data engineering, including experience with graph

    QL, Snowflake, Typescript, React

    JS is a plus.
  • Background in the power, renewables or energy industry is a plus.

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 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.

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