Senior Manager, People Analytics and AI Solutions

[What the role is]
We are looking for an experienced People Analytics and AI Solutions professional to spearhead the HR reporting and people analytics function within the Human Resource department. You will transform how URA uses workforce data, drive automation, and promote AI adoption to make smarter workforce decisions and more effective HR operations. This includes end-to-end HR data extraction and management from Workday, and ensuring that data pipelines, reporting logic, and dashboards are reliable, accurate, clearly documented, and fit for purpose.
Working across Workday, Microsoft 365, Microsoft Copilot, and automation tools, the role will embed data, AI, and process improvements into HR operations. The incumbent will champion digitalisation and AI adoption within HR, and serve as a key coordination point to strengthen data governance, reporting consistency, and evidence-based decision-making.
This role is suited for a detail-oriented and self-motivated professional who combines strong HR functional knowledge with hands-on technical capability in Workday, Excel, Python or R, Power Automate, and AI-enabled productivity tools.
[What you will be working on]
HR Reporting, Analytics & Governance
- Manage end-to-end HR reporting and analytics, including management reporting, workforce dashboards, statutory submissions, and ad-hoc analyses.
- Coordinate across stakeholders on reporting template updates and logic changes, ensuring seamless implementation without operational disruption.
- Lead the extraction, validation, and management of HR data from Workday, ensuring data accuracy, consistency, and integrity.
- Develop and maintain HR dashboards and reports to support workforce planning and management decision-making.
- Provide actionable workforce insights and translate complex data into clear recommendations for HR and business leaders.
- Ensure compliance with audit, governance, and reporting requirements.
Digitalisation, Automation & AI Enablement
- Drive the continuous improvement of HR reporting processes through automation, standardisation, and workflow redesign.
- Develop and maintain automation solutions using Python, R, Power Automate, and other approved tools to improve efficiency and reduce manual effort.
- Oversee the maintenance and enhancement of AI-enabled HR solutions, including the HR Policy Chatbot, to ensure quality, accuracy, and user adoption
Stakeholder Partnership & Capability Building
- Serve as the subject matter expert for HR analytics, providing advisory support to HR and business stakeholders.
- Partner with various stakeholders to align reporting standards, resolve issues, and implement system changes.
- Build analytics and digital capabilities across HR through training, knowledge sharing, and user support.
- Identify opportunities to leverage data, automation, and AI to improve HR operations, employee experience, and workforce decision-making.
- Support enterprise and cross-functional initiatives that require HR data, reporting, or analytical expertise.
[What we are looking for]
Education & Experience
· Degree in Human Resources, Business Administration, Business Analytics, Statistics, Information Systems, or a related discipline.
· Minimum 5 years of experience in HR analytics, reporting, HR systems, or a related field.
· Experience in the public sector will be an advantage.
Technical & HR Knowledge
· Strong proficiency in Workday, HR reporting, and data management.
· Experience in dashboard development and reporting tools, with the ability to translate business requirements into actionable insights.
· Advanced proficiency in Microsoft Excel and PowerPoint; familiarity with Microsoft 365 tools, including SharePoint, Power Automate, and Microsoft Copilot.
· Working knowledge of Python or R for data analysis and reporting automation.
· Good understanding of HR processes, workforce management concepts, and key HR metrics.
Core Competencies
· Strong analytical, problem-solving, and process improvement skills.
· Detail-oriented and comfortable working with complex and sensitive data.
· Able to communicate insights effectively to both technical and non-technical stakeholders.
· Strong stakeholder management skills and the ability to work collaboratively across teams.
· Self-motivated, service-oriented, and able to manage multiple priorities independently.