Reporting, Analytics and AI - Senior Lead

Description Data Analytics and AI Lead Make Power for GoodRES is the world's largest independent renewable energy company. Our mission is simple: a future where everyone has access to affordable, zero-carbon energy. The problems we're solving are among the most important of our generation — and the people working on them are extraordinary.

We're growing our data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI and is a data and AI leader, to solve hard business problems. If you want your analytical work to drive real decisions — within a company that's changing the world — this is the role.

The Role You'll own the delivery of analytics and AI products at RES — turning complex data into trusted, governed insight consumed by senior leaders and decision-makers across the business.

This is a hands-on technical role and leadership role with 15+ years of experience required. You'll build models, write Python and SQL, apply LLMs and machine learning to business questions, and deliver automation that cuts manual effort and unlocks new insight. You'll focus your energy on analysis, AI application, and insight delivery — working with modern cloud platforms and data and AI infrastructure.

You will work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Lead working groups and present to executive stakeholders with strong negotiating and influencing skills.

You will leadership and line management junior staff and federated team, coaching, developing and being the global lead for reporting, analytics and AI. Support teams in moving from manual reporting to governed, AI-enabled analytics.

What You'll DoDeliver reporting, data modelling and advanced analytics across complex business domains — defining, validating, and owning the definitions, metrics and models that drive decisions.

Work closely with and lead business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Lead working groups and present to executive stakeholders with strong negotiating and influencing skills.

Leadership and line management of junior staff and federated team, coaching, developing and being the global lead for reporting, analytics and AI. Support teams in moving from manual reporting to governed, AI-enabled analytics.

Apply machine learning to real business problems: predictive modelling, classification, segmentation, anomaly detection, and forecasting.

Use LLMs and generative AI to build analytical tools, AI-assisted insight products, and intelligent automation — including prompt engineering and retrieval-augmented generation (RAG). Validate all AI and model outputs for accuracy, bias, and reliability before they reach stakeholders.

Translate reporting and analytical findings into clear, business-ready insight for senior and executive audiences.

Develop comprehensive semantic data models and business intelligence solutions and quality data for consumption by AI tools.

Identify and deliver automation opportunities using tools such as Power Platform, Power Automate, or equivalent — reducing manual effort and improving data-driven workflows.

Use Python and SQL to clean, model, and analyse data; deliver self-service analytics through governed semantic models and reporting layers.

Lead UAT and business validation for analytics outputs and AI products.

Support teams in moving from manual reporting to governed, AI-enabled analytics.

What You'll Bring Extensive experience leading business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Leading working groups and present to executive stakeholders with strong negotiating and influencing skills.

Leadership and line management of junior staff and federated team, coaching, developing and being the global lead for reporting, analytics and AI. Support teams in moving from manual reporting to governed, AI-enabled analytics.

Strategy, planning and roadmap delivery and implementation to KPI standards.

Semantic and dimensional data…