Drive AI-enabled operational improvement, including identifying use cases for automation, workflow optimization, knowledge management, and case deflection, balancing efficiency with employee care and quality outcomes 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, including training and communication plans for all levels, locations, and XFN partners Partner with HR Tech, engineering teams, and vendors to identify, build, and implement appropriate technology solutions; oversee system integration efforts and ensure smooth transition and adoption Identify, escalate, and mitigate program risk proactively rather than reactively Move fluidly between audiences (SMEs, payroll leadership, engineering peers, and skip-level leadership), simplifying complex technical concepts for non-technical groups without losing precision, and maintaining open, candid, and trusting working relationships Monitor stabilization of changes to ensure processes and systems are executed per design8+ years of experience in 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 in 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 on greenfield problems, 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 on board with the benefits of transformational change Knowledge and understanding of the tech and software industry's business models and core processes Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience in understanding and facilitating change in a dynamic environment: handling challenges and pushback from senior stakeholders Experience in requirement analysis techniques and methodologies, and delivering business value through process improvement in a high-tech operations space Comfortable working in a modern web stack (TypeScript, React) environment and able to hold substantive technical conversations with engineering partners Bachelor's degree in a technical, business, or operations discipline, or equivalent experienceMeta builds technologies that help people connect, find communities, and grow businesses. Own development, organization, and execution of large, complex business and operational programs from inception through delivery, with little to no oversight; own the program roadmap and scoping, making tradeoffs 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 (from hire through movement, leave, and exit) to identify seams, handoff failure points, and automation opportunities across teams and systems, then build the solutions that address them.