AI Strategist, People Experience
2 days ago
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in project management, change management, stakeholder alignment, and execution.
- Experience in global operations and contributing to the development and deployment of technology solutions (including AI/ML).
- Familiarity with organizational structures, workflows, and no-code/low-code AI tools.
- Knowledge of global HR/People Operations processes or service operations transformation.
- Ability to drive initiatives requiring change management and stakeholder alignment, while also connecting ideas, identifying synergies, and fostering efficiency across teams.
- Ability to identify opportunities and collaborate with technical teams, and willingness to learn.
- Passion for structuring information to facilitate decision-making and align stakeholders.
About the job
People Experience (PX) is a team at Google that delivers extraordinary, hire-to-retire experiences for Googlers in the moments that matter most. We deliver global HR processes (with regional nuance where needed) that are personalized and delightful for millions of candidates and Googlers. PX teams span Recruiting, Analytics and Planning, HR Operations, Vendor Management, Service Model Excellence, and Googler- and Market-level HR support. This role sits within the PX RISE (Routing, Infrastructure, Services, Excellence and Business Strategy) team. RISE is focused on transforming Google's People Operations service delivery. Our mission is to make every day simple, so we can make special days really special by building durable capabilities across intelligent operations, holistic measurement, and extraordinary experiences, leveraging AI and ML to leapfrog current capabilities. We drive initiatives like AI-powered transformations (e.g., Agentic AI, POps Connect enhancements), develop Critical User Journey (CUJ) oriented operating models, and implement robust measurement frameworks.
As an AI Strategist within the RISE team, you will play a pivotal role in shaping and executing the goal for leveraging AI within Google's People Operations (POps) functions. You will be responsible for identifying high-impact opportunities, contributing to the roadmap for AI solutions, and guiding their conceptualization, development, and post-launch success management. You will act as an advocate and consultant, bridging the gap between People Operations challenges and AI capabilities, driving innovation and ensuring alignment with our goal of achieving significant velocity in our transformation journey. You will work in an ambiguous environment, collaborating extensively across PX, People Operations (POps), Product, Engineering, and Leadership teams.
Google creates products and services that make the world a better place, and gTech's role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers' complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video.
Responsibilities
- Contribute to defining and executing the AI strategy and implementation roadmap for People Operations, focusing on specific personas and critical user journeys.
- Research and help prioritize high-impact Artificial Intelligence (AI)/Agentic AI use cases based on feasibility, data, and alignment with objectives, collaborating with stakeholders.
- Contribute to conceptualizing AI solutions, emphasizing functionality, user experience, and business value, partnering with Product and Engineering teams.
- Partner with teams, acting as a key integrator to align on AI initiatives, facilitate decision-making, and ensure clear communication.
- Support the life-cycle of AI initiatives, define success metrics, measure value, drive adoption, and ensure adherence to Google's Responsible AI principles.
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