People Ops Transformation Lead - AI, Automation & Systems

Meta; City of Westminster; On-site; GBP 140,000 - 180,000; Full time

Job summary

Meta is seeking a People Service Delivery Lead in the United Kingdom to drive end-to-end transformation programs across people operations, payroll, and related tooling. The role combines domain expertise with hands-on engineering input to design and build solutions that close process gaps and reduce manual work.

The candidate will partner with engineering, HR, and leadership to shape system design, implement AI-enabled improvements, and manage cross-functional programs with a focus on

Qualifications

• Significant experience managing large-scale, global transformation or continuous improvement initiatives aimed at improving business processes, systems, and operations, with demonstrable business results
• Domain knowledge of HR, payroll, or people-operations processes, or demonstrated experience ramping quickly into a complex operational domain
• Experience designing or operating HR processes spanning multiple stages of the employee lifecycle (e.g., hire/onboarding, movement, leaves and time away, compensation and payroll events, and offboarding), with an understanding of how upstream decisions create downstream operational load
• Experience operating independently through ambiguity, navigating competing and shifting priorities to maintain momentum, and delivering results in a detail-oriented, highly organized manner
• Experience problem-solving using data, translating thorough examination and analysis into action
• Experience working in an XFN environment: building relationships, consensus building, and motivating teams at all levels, technical and non-technical, to get colleagues onboard with the benefits of transformational change

Responsibilities

• Own development, organization, and execution of large, complex business and operational programs from inception through delivery, own the program roadmap and scoping, making trade-offs to optimize time-to-release and clearly communicating goals, roles, responsibilities, and desired outcomes
• Deliver tooling that removes manual effort from people operations workflows
• Partner with Engineering to shape system design and technical direction, translating people operations needs into clear requirements
• Participate in design and solution reviews, holding a high-quality bar for what the team ships
• Deconstruct end-to-end employee lifecycle journeys to identify seams, handoff failure points, and automation opportunities across teams and systems, then build the solutions that address them
• Drive AI-enabled operational improvements, including identifying use cases for automation, workflow optimization, knowledge management, and case deflection
• Improve efficiency and quality of systems and operations through end-to-end process frameworks and optimization initiatives, and design the change management that drives adoption of new processes, systems, or tooling
• Partner with HR Tech, engineering teams, and vendors to identify, build, and implement appropriate technology solutions
• oversee system integration efforts and ensure smooth implementation
• Identify, escalate, and mitigate program risks proactively rather than reactively
• Move fluidly between audiences and communicate clearly to non-technical groups while maintaining trust
• Monitor stabilization of changes to ensure processes and systems are executed per design

Skills

Large-scale transformation

HR/payroll domain knowledge

Operations optimization

Cross-functional collaboration

AI adoption / automation

Education

Bachelor's degree in technical, business, or operations

Job description

Meta is seeking a People Service Delivery Lead in the United Kingdom to drive end-to-end transformation programs across people operations, payroll, and related tooling. The role combines domain expertise with hands-on engineering input to design and build solutions that close process gaps and reduce manual work.

The candidate will partner with engineering, HR, and leadership to shape system design, implement AI-enabled improvements, and manage cross-functional programs with a focus on