Automation Strategy & Ownership:
- 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.