People & Culture Reporting, Analytics and AI Lead

People & Culture Data and AI Lead

Job Summary

The People & Culture Data 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 global 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.

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 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.
• 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.
• 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.