Data Product Manager

Wood Mackenzie

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profile Job Location:

Edinburgh - UK

profile Monthly Salary: Not Disclosed
Posted on: 15 hours ago
Vacancies: 1 Vacancy

Job Summary

Wood Mackenzie is the global data and analytics business for the renewables energy and natural resources industries. Enhanced by technology. Enriched by human an ever-changing world companies and governments need reliable and actionable insight to lead the transition to a sustainable future. Thats why we cover the entire supply chain with unparalleled breadth and depth backed by over 50 years experience. Our team of over 2400 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 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

Job Description

Wood Mackenzies Long Term Power product team is responsible for a suite of products that enables our customers to make decisions that matter across the energy value chain. This includes Lens Power our data analytics platform that delivers insights at key decision points in end-to-end workflows.

Establishing a resilient sustainable portfolio is critical for energy companies as they develop agile business models to meet net zero goals. We strive to be their partner of choice offering a range of technical solutions to support the business needs of these companies. Our team delivers integrated analysis across the power sector enabling customers to navigate energy industry dynamics and make quicker more effective decisions.

We are seeking a strategic and technically adept Data Product Manager to lead the evolution of our data management tools oversee the development of data schemata for the power and renewables sector and drive innovation in how we leverage data across our models and customer-facing platforms.

This role sits at the intersection of product data engineering and analytics. It is critical to ensuring our data capabilities scale with the needs of the business while enabling high-quality reliable and actionable data for our clients and internal research teams.

Main responsibilities

Working in the Long Term Power customer segment you will be working alongside our product data research and engineering teams and reporting to the Product Director.

Responsibilities will include:

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

You will be passionate about bringing great products to market and solving our customers biggest challenges. Your experience includes:

  • 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: graphQL Snowflake Typescript ReactJS 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.


Required Experience:

IC

Wood Mackenzie is the global data and analytics business for the renewables energy and natural resources industries. Enhanced by technology. Enriched by human an ever-changing world companies and governments need reliable and actionable insight to lead the transition to a sustainable future. Thats ...
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Key Skills

  • Time Management
  • Data Analytics
  • Analytical
  • Agile
  • Requirement Gathering
  • Strategic thinking
  • Visio
  • Communication
  • Problem Solving
  • Market Research
  • UML
  • Cross Functional Teams

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Empower strategic decision-making in global natural resources with quality data, analysis and advice. Discover the latest insights and reports online.

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