• Use customer and employee feedback, alongside operational data and insights, to inform improvements to the HR experience, quality, and outcomes. • Align initiatives with departmental strategic objectives and provide expert judgement on risk, compliance, and scalability, ensuring statutory and employment-related regulatory requirements are embedded directly into automation and system design decisions. • Scope and deliver as the Directly Responsible Individual (DRI) multi-phase initiatives across process redesign, tooling, and change management from planning, prototype, launch and optimization. • Map operational processes, identify bottlenecks, and architect end-to-end automated workflows that increase speed, accuracy, and scalability. • Build and maintain data pipelines via native connectors or APIs across HRIS, case management, payroll, and other tools to ensure seamless data flow, event triggers and reporting. • Leverage low-code/no-code platforms (like Zapier, Make, Retool, n8n or similar) to prototype and deploy rapid automations. • Deploy and govern AI tools or agents (e.g., for document processing, query triage, policy guidance, data auditing) that enhance efficiency, compliance and user experience. • Design and Implement multi-agent patterns (e.g. maker/checker setups, routing to specialised agents) and governance policies (e.g. retries, fallbacks, guardrails), embedding appropriate human oversight in employment-related workflows to ensure compliant and responsible AI deployment. • Build and maintain automation observability and governance (e.g. tracing, logging, agent runs evaluation) including access controls and auditability suitable for HR data. • Develop and maintain fit-for-purpose operational data models to support reporting, audit, compliance and data integrity initiatives within HR Operations. • Build and iterate on HR Operations analytics dashboards and reports (e.g. data audits, performance metrics) using SQL and BI tools such as Tableau or Sigma. • Foster strong cross-functional collaboration and support effective change management, training, adoption and continuous improvement of AI & Automation driven solutions. • Serve as a technical lead for AI & Automation within the Ops departments, contributing to the evolution of best practices and ways of working. • Mentor and guide junior team members, supporting capability uplift and operational maturity across the department.