Engineering Manager

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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.

• 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

We are seeking an experienced, proactive and dynamic Software Engineering Manager that will manage and grow a team of talented software and data engineers creating our strategic flagship product Lens. This role is integral to driving the future success of our global Engineering department by leading both continual improvements and driving the rapid adoption of new capabilities such as AI. We have an Agile approach implemented by SCRUM where you will be working closely with our Product Owners and technology stakeholders.

This is a great opportunity to help shape the team for the future – from the ways we work to the new technologies we adopt – in delivering some of the world’s leading Energy products.

• Manage a team of 10-12 software and data engineers developing high profile changes for our Lens Product Suite.
• Establish a team culture of continual improvement, collaboration, fresh thinking and high performance – always seeking to be better.
• Oversee the scoping, sizing, planning and delivery of development work within an Agile SCRUM methodology and positively influence the ceremonies you attend.
• Become a key member of the global Engineering Leadership Team, actively contributing to the wider strategic direction of the group.
• Be responsible for meeting the commitments you make, taking proactive ownership in resolving issues or blockers to your team’s success.
• Collaborate closely with Product Owners, Scrum Masters, and cross‑functional stakeholders to ensure strategic alignment and accurate expectations.
• Continually lead and support your team to evolve their capabilities both individually and collectively.
• Champion the adoption and expectation of best practices in software development practices such as PRs & code reviews, automated QA, AI driven processes, CI/CD pipelines.
• Be passionate about growing your team capabilities through mentoring, talent development, proactive support and strategic recruitment.
• Be comfortable managing 3rd party partner resources in remote locations.
• Ability to manage multiple priorities in a fast‑paced, dynamic environment.
• Practical experience with technologies:
  Type Script/JavaScript, React/Angular, Python, Playwright/Selenium, AWS, Graph
  
  QL, Copilot/Amazon Q Developer, CI/CD pipeline with Jenkins/Git Hub Actions.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in software engineering roles, with at least 4 years in a leadership or managerial role.
• Strong technical understanding of full stack software development on modern cloud architectures, preferably AWS.
• Outstanding communication, people management and organisational skills.
• Background managing teams in an Agile SCRUM environment, partnering with Product Management – including ceremonies, backlogs, estimation, planning & reporting.
• Experience of leading the improvement of your teams over time, including sizing, shaping and hiring.
• Understanding of engineering metrics/KPIs and how these are used to manage and increase capability of teams.
• A genuine interest or experience of adopting AI technologies within…