HR AI & Automation Operations Lead

Automation Strategy & Ownership:

• Use customer and employee feedback, alongside operational data and insights, to inform improvements to the HR experience.
• Align initiatives with departmental strategic objectives and provide expert judgement on risk, compliance, and scalability.
• Scope and deliver as the Directly Responsible Individual (DRI) multi-phase initiatives across process redesign, tooling, and change management.

Workflow Optimization & System Integration:

• 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.

Data Analytics & Insights:

• 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.

Leadership & Team Enablement:

• 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.