Reporting, Analytics and AI Technical Lead

Do you want to work to make Power for Good? We're the world's largest independent renewable energy company. We're guided by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy.

We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them. RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they're at.

We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally.

Our competitive package offers a wide range of benefits and rewards.

The Reporting, Analytics and AI Lead owns the design and delivery of analytics, data modelling, reporting, and AI-enabled consumption use cases through the enterprise data platform. This pivotal role is responsible for designing and delivering scalable, secure, and future-ready data modelling, reporting, and analytics through Azure, Fabric, and Purview, serving as the single source of truth for the enterprise. The role empowers business users to consume trusted, governed, and explainable data products through reporting, semantic models, and approved AI-enabled analytics tools.

This is a technical delivery role focused on quality data, AI and analytics through the data platform—not a traditional BI role or general enterprise AI function.

• Lead the design and delivery of trusted data, technical specifications, and data models across Azure, Fabric, and Purview to provide integrated, secure, and scalable data for consumption.
• Own and deliver analytics, reporting, and AI-enabled consumption requirements.
• Own, design and deliver modelling, reporting and analytics products through the enterprise data platform.
• Define, document, and validate reporting requirements, KPI definitions, business rules, management information logic, and analytics use cases. Define prioritisation, standards, delivery approach, and adoption metrics.
• Partner with stakeholders to shape use cases, success measures, and iterative delivery plans.
• Deliver reporting, AI and analytics outputs that are trusted, governed, consistent, and suitable for senior stakeholder consumption.
• Lead AI tools to answer business questions using approved, certified, and traceable data products. Validate AI for accuracy, context, source, assumptions, business meaning, and appropriate use.
• Deliver and integrate AI-enabled analytics and data science capabilities.
• Identify opportunities to and implement outputs that reduce manual reporting and replace with governed data products, semantic models, and AI-enabled analytics consumption.
• Manage stakeholder expectations, prioritisation, adoption, feedback, and reporting rationalisation.
• Support the transition from dashboard-led reporting to governed data products, semantic models, and AI-enabled consumption through the data platform.
• Ensure AI-enabled analytics outputs are explainable, traceable, and aligned to approved metric definitions. Work with platform, governance, engineering, and modelling colleagues to ensure AI-enabled consumption is safe, controlled, and operationally supportable.

• Expertise in semantic data modelling, including physical, dimensional, and logical models with deep understanding of BI patterns and enterprise architecture.
• Highly skilled in building consistent metrics and reporting layers across governed platforms.
• Advanced technical skills in hands‑on delivery using Microsoft Azure, Fabric, and modern tools to deliver quality data through a data lakehouse.
• Strong data visualisation and UX delivery; ability to critique and uplift data and reporting quality. Strong reporting, analytics, and management information capability.
• Strong AI‑enabled analytics, natural language querying, semantic consumption, and delivery of explainable analytical outputs.…