People & Culture Data Analytics and AI Lead in Glasgow

P&C Data Analytics and AI Technical Lead

Description

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.

Job Summary

The People & Culture Data Analytics and AI Lead owns the end-to-end delivery of P&C data products — from source systems into governed, analytics-ready datasets and semantic models — and delivers data, data science, and advanced analytics to senior P&C leaders, the Executive Committee, and the Board. The role ensures employee data is trusted, protected, governed, and used appropriately across the organisation and delivers innovative products.

Key Accountabilities

• Lead technical delivery of P&C datasets from source systems (e.g. IFS) into Fabric/Azure/Synapse across landing, curated, and semantic layers; produce implementation-ready specifications for engineers and modellers.
• Own the P&C certified semantic layer design including measures, calculations, and role-based access; define, document, and validate P&C metrics including headcount, attrition, absence, recruitment, diversity, and workforce planning.
• Implement data quality controls in Azure and Purview; define reconciliation routes to operational reports and own the certified report suite.
• Deliver AI-enabled analytics, automation and data science; validate AI-generated P&C insights for accuracy, fairness, sensitivity, and explainability; define appropriate AI self-service use cases and ensure AI tools operate only on approved, access-controlled data.
• Ensure P&C data is governed with appropriate sensitivity, privacy, and ethical controls; work with the Data and AI Governance Lead to classify data and manage personal and sensitive workforce data risks.
• Lead automation, including power platform, Dataverse, microsoft365 dynamics, and other tools.
• Lead coding, vibe coding, LLMs, prompt engineering, python, SQL. power automate, and data flows.
• Lead UAT, business validation, and sign-off for P&C analytics, semantic models, and AI outputs; support stakeholders in transitioning from manual reporting to governed, AI-enabled workforce analytics.

Skills and Competencies

• Expertise in semantic data modelling (physical, dimensional, logical) and enterprise architecture.
• Advanced hands-on skills in Microsoft Azure and modern data lakehouse tooling for reporting, automation, data development and analysis.
• Working knowledge of data science, AI, and machine learning in analytics, including responsible use controls.
• Strong understanding and skills in of AI risks: privacy, fairness, explainability, and inappropriate automated decision-making.
• Automation, including power platform, Dataverse, microsoft365 dynamics, and other tools.
• Coding, vibe coding, LLMs, prompt engineering, python, SQL. power automate, and data flows.
• Metric definition, workforce analytics, and people data interpretation.
• Strong data visualisation and UX skills; UAT, reconciliation, and business validation capability.
• Delivery of automation and advanced analytics and quality data products, including integrating multiple source systems.

Qualifications and Experience

Essential

• Bachelor's degree in data analytics, data science, or a related discipline.
• Extensive experience in data, AI and analytics delivering secure, high-value, executive-level certified data with measurable business impact.
• Extensive experience implementing Microsoft Azure and self-service data and AI platform frameworks at scale.
• Strong background in analytics, AI/M and reporting; experience handling sensitive employee data, privacy requirements, and access controls.
• Strong experience in automation, including power platform, dataverse, microsoft365 dynamics, and other tools.
• Strong experience in coding, vibe coding, LLMs, prompt engineering, python, SQL. power automate, and data flows.
• Experience working with data engineers, architects, and business domain leads; prior experience in a technical data team with a CDO.
• Experience with data standardisation frameworks for harmonising definitions, taxonomies, and formats across regions.
• Experience with Power BI, SQL, semantic models and governed reporting platforms.
• Experience with AI-enabled analytics, responsible AI.

Desirable

• Experience with HR platforms such as Workday or equivalent.
• Experience working with privacy, legal, or HR leadership on sensitive workforce data.
• Relevant certifications in HR, people analytics, data, Power BI, SQL, privacy, Microsoft, or AI analytics.

At RES, we celebrate differences as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.