Data Product Manager - Long Term Power

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
** Job Description
** Wood Mackenzie’s 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…