People & Culture Data Analytics and AI Lead

Location: Kings Langley

DescriptionP&C Data Analytics and AI Lead Do you want to work to make Power for Good?

We're the world's largest independent renewable energy company, 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 and professional growth of our people, no matter what stage of their careers 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 Role We're growing a brand new data and analytics team, including leading AI work across the globe. We are looking for a strong, smart, innovative data and analytics and AI leader to focus primarily on People & Culture. Someone who loves working with data and AI to answer hard questions about people and organisations. If you want your analytical work to have real business impact — within a company that's changing the world — this is the role for you.

You'll own the delivery of P&C data, reporting, analytics and AI products at RES — turning complex global workforce data into trusted, governed insight consumed by P&C leaders, the Executive Committee, and the Board.

This is a hands-on analytical role. You'll build dimensional data models, write Python and SQL, apply LLMs and machine learning to workforce questions, and deliver automation that reduces manual effort across P&C.

You'll work with a modern Azure Fabric platform, focusing your energy on working with stakeholders to define and prioritise use cases and business requirements, then deliver quality data, reports, modelling and analytics.

You will handle sensitive employee data, implementing privacy controls, and ensuring the data is used ethically. What You'll DoDeliver workforce data and analytics i.e.  headcount, attrition, absence, recruitment, diversity, and workforce planning — defining, validating, and owning metrics.

Use Microsoft Azure/Fabric to clean, model, and analyse workforce data and deliver self-service data, reporting and analytics.

Developing governed dimensional and semantic data models for consumption through business intelligence, excel, AI or other tools.

Apply data classification, access controls, and privacy standards to P&C analytical outputs.

Apply AI to P&C use cases: i.e. attrition prediction, workforce segmentation, flight risk modelling, and talent insights.

Use LLMs and generative AI to build analytical tools and AI-assisted insight — designing prompts and ensuring outputs are accurate, fair, and explainable. Validate all AI-generated outputs for accuracy, bias, and sensitivity.

Build automation workflows using tools such as Power Platform, Power Automate, and Dataverse — or equivalent — to reduce manual effort across P&C processes.

Lead business requirements, use case development, UAT and business validation for P&C data, reporting and analytics outputs and AI products.

Support P&C stakeholders in moving from manual reporting to governed, AI-enabled analytics — translating technical outputs into clear business insight.

Support and lead other work outside of P&C as required and agreed by the Head of Department.  What You'll Bring Dimensional Data Modelling, Python and SQL — comfortable using both for data analysis, modelling, and automation.

Visualisation — ability to design clear, executive-ready data models and visualisations outputs using Microsoft Azure/Fabric, modelling tools.

Workforce analytics — understanding of core P&C metrics and how to interpret people data.

Generative AI and LLMs — prompt engineering, applied use of LLM tools, and an understanding of responsible AI in a sensitive data context.

Automation tooling — knowledge and experience with platforms such as…