P&C Data Analytics and AI Technical Lead
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, Microsoft 365 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 AI risks: privacy, fairness, explainability, and inappropriate automated decision‑making.
- Automation, including Power Platform, Dataverse, Microsoft 365 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, Microsoft 365 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.
Location: United Kingdom, Glasgow; United Kingdom, Kings Langley.
Employment type: Permanent Full Time.
We celebrate differences in ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity, disability, marital status, parental status, education, social background, and life experience.
