Manager, People Ops & Automation

Team/ Role Paragraph: We're looking for an AI-forward operator to lead how our People Operations function runs, including the systems, signals, and service model that power the entire employee experience. This role sits at the intersection of data, automation, and people strategy: you'll use AI and predictive insight to anticipate organizational needs before they become problems, and you'll lead a team that turns those insights into scalable, human-centered solutions.

You'll own the design, execution, and continuous improvement of HR service delivery, partnering closely within our People Ops team and with partner teams like IT, Payroll, HR M&A, and HR Business Partners to modernize how we work. This isn't a role about maintaining the status quo; it's about reimagining how a People function should run in an AI-enabled world, faster, smarter, and more responsive to the business.

• Lead with foresight, not hindsight. Use Jira, Workday, ticketing trends, service-level data, employee experience signals, and capacity data to anticipate where the organization will need to simplify, standardize, automate, or redesign work before issues surface as escalations.
• Build and scale AI-powered service delivery. Support the optimization of knowledge management, case management, employee lifecycle workflows, embedding generative AI and automation wherever it improves speed, accuracy, and employee experience, while preserving the right level of human judgment, oversight, and compliance.
• Act as a strategic advisor across the People function. Serve as a trusted partner to our Centers of Excellence, ensuring HR functions operate as one connected system aligned to business priorities, not a set of disconnected processes.
• Turn ambiguity into operating clarity. Translate complex, cross-functional needs into process maps, requirements, success metrics, operating procedures, and launch plans that route work to the right tier whether automated, self-service, or human-supported.
• Lead and develop a team, modeling how to use data and AI as a daily decision-making tool, not a side project.
• Drive measurable outcomes. Continuously tie process and automation investments back to efficiency gains, cost, risk reduction, and employee experience improvements.

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