Data Product Manager
Listed on 2025-12-01
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IT/Tech
Data Science Manager, Data Engineer
Data Product Manager – Wood Mackenzie
Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Our team of over 2,400 experts operates across 30 global locations to deliver real‑time analytics, consultancy, events and thought leadership.
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
Wood Mackenzie’s Long Term Power product team delivers a suite of products that enables customers to make decisions across the energy value chain. This includes Lens Power, our data analytics platform, which provides insights at key decision points.
We are seeking a strategic and technically adept Data Product Manager to lead the evolution of our data management tools, oversee data schemata development for the power and renewables sector, and drive innovation in leveraging data across our models and customer‑facing platforms.
Main Responsibilities- Own the roadmap and continuous improvement of internal data management tools.
- Collaborate with engineering and data teams to enhance 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.
- Identify and evaluate new data sources to enrich our products.
- Collaborate and align with 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.
- 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.
- Partner with stakeholders across departments to ensure schema alignment with business needs and technical constraints.
- Define success metrics for data products and tooling.
- Monitor usage, performance, and impact, and iterate based on feedback and insights.
- Excellent communication and stakeholder management skills.
- Ability to collaborate with a wide range of stakeholders around a shared vision: product, research, data, engineering and senior leadership.
- Proven experience as a Product Manager, ideally in a data or platform‑focused role.
- Familiarity with data pipelines and customer‑facing data applications.
- Analytical mindset with a passion for solving complex data problems.
- Experience with APIs, SQL, Jupyter Notebook.
- Background in software or data engineering, including experience with Graph
QL, Snowflake, Type Script, React
JS is a plus. - Background in the power, renewables or energy industry is a plus.
Hybrid working. The successful applicant will be expected to be present in the office at least two days per week. Flexible working to accommodate different time zones may be required.
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. 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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