HR Data, Analytics & Digital Transformation Lead

The HR Data, Analytics & Digital Transformation Lead will play a key role in modernising the HR function by strengthening people analytics, workforce insights, automation, data governance, and digital innovation capability. The role will move HR from primarily producing reports and administering systems to proactively generating insight, improving decision-making, optimising processes, and enabling the business to anticipate future workforce needs
People Analytics & Workforce Insights: Develop the HR analytics capability by moving beyond data extraction and reporting to identify workforce trends, risks, opportunities, and predictive insights that support strategic decision-making.
Power BI & Data Visualisation: Design, develop, and maintain dynamic dashboards, meaningful visualisations, and self-service reporting tools that enable leaders and stakeholders to access timely, accurate, and actionable people data.
Automation & Process Optimisation: Identify, prioritise, and deliver opportunities to automate repetitive HR activities, streamline workflows, improve process efficiency, and reduce manual effort across HR services.
AI & Digital Innovation: Explore, assess, and support the responsible deployment of AI-enabled HR solutions, Copilot capabilities, intelligent automation, and emerging technologies that improve HR service delivery and employee experience.
Data Governance & Architecture: Strengthen HR data governance by improving data standards, integration, quality controls, reporting architecture, and enterprise-wide data management practices.
Product Ownership & Technology Strategy: Contribute to the HR technology roadmap by managing digital products, prioritising enhancements, measuring benefits realisation, and ensuring systems continue to meet evolving business needs.
Strategic Business Partnering & Consulting: Partner proactively with HR, IT, business leaders, and external vendors to understand workforce challenges, identify technology-enabled solutions, and advise on future-state operating models.
Change & Transformation: Support digital transformation by developing adoption strategies, embedding new ways of working, enabling users, and ensuring changes are sustained at scale
Strong experience in HR systems, people analytics, workforce reporting, data visualisation, or digital HR transformation.
Practical experience using Power BI or similar business intelligence tools to develop dashboards, analyse trends, and communicate insight clearly.
Ability to translate complex HR data into meaningful business narratives, recommendations, and evidence-based actions.
Good understanding of HR processes, employee lifecycle data, workforce planning, talent acquisition, talent management, and HR operations.
Experience identifying and delivering automation, process improvement, or workflow redesign opportunities.
Knowledge of data governance principles, data quality management, reporting standards, and system integration considerations.
Awareness of responsible AI principles, including ethical use, human oversight, data protection, bias mitigation, and compliance requirements.
Strong stakeholder management skills, with the ability to partner effectively with HR, IT, business leaders, vendors, and cross-functional teams.
Ability to manage competing priorities, deliver improvements through structured planning, and contribute to longer-term technology roadmaps.
Excellent communication, consulting, and influencing skills, with the confidence to challenge existing ways of working and recommend practical solutions.
Personal Attributes
Analytical and curious, with a strong interest in using data to solve business problems.
Innovative and forward-thinking, with a practical approach to applying technology, AI, and automation in HR.
Collaborative and consultative, able to build trusted relationships and work across functional boundaries.
Change-oriented, comfortable challenging current processes and supporting others to adopt new ways of working.
Detail-focused, with a strong commitment to data accuracy, integrity, compliance, and continuous improvement.
Committed to mentoring and developing team members to broaden capability, strengthen knowledge sharing, and enhance overall team effectiveness.

Employment type
Full-time

Work arrangement
Hybrid