People Analytics & Technology Lead

About the role

The People Team at X is looking for a People Analytics and Technology Lead to lead the next phase of our People Infrastructure. We have successfully transitioned key HR programs from third-party tools to a proprietary, AI-augmented ecosystem built on GCP.

Responsibilities

• Product Strategy and Architecture: Act as the product owner for People team internal tools and our broader tech stack. Architect future system states, map data interconnection points across tools, and define the long-term technology strategy.
• Advanced Analytics and Dashboarding: Own the People data architecture end-to-end. Write complex Google SQL queries, build dynamic dashboards (e.g., in Looker), and drive "data storytelling" that transforms raw talent signals into actionable insights for leadership. You should be comfortable presenting data to executives and senior leadership.
• Requirements and Workflow Design: Translate ambiguous business challenges into clear, executable technical requirements. Write rigorous Product Requirement Documents (PRDs) and system design docs for engineering teams.
• Tech Resourcing and Delivery: Triage and manage the technical backlog. Determine the most efficient resourcing for feature requests—distinguishing between what can be handled by internal technical staff, and what requires scoping for central engineering or vendor support.
• AI Integration and Automation: Identify and execute opportunities to leverage Generative AI and automation to create operational leverage across the People Team.
• Vendor Management and Compliance: Lead technical evaluations for new third-party tools. Manage Vendor Security Assessments (VSAs) and ensure all integrations meet Alphabet’s strict privacy and security standards.
• System Maintenance: You will take ownership of maintaining existing infrastructure and pushing feature updates or bug fixes to ensure system stability. You will also help shape and define the technical support model, partnering with central tech teams to scope resource needs and collaboratively problem-solve rather than relying on a pre-existing technical pod.
• People Management: Act as a player-coach by directly managing and mentoring one junior analyst. You will be responsible for their professional growth, setting clear performance expectations, and helping them scale their technical capabilities (e.g., advanced SQL, data modeling, dashboard design). You will effectively delegate operational tasks and data requests to your direct report, transforming this management relationship into a force-multiplier for the People Systems function.

Qualifications

• Experience: 5+ years of experience in Technical Product Management, Systems Architecture, or a heavily technical Operations/Analytics role.
• Data Architecture and SQL: Advanced proficiency in SQL (Google SQL preferred) with the proven ability to think deeply about data architecture, write highly complex queries, and structure disjointed datasets.
• Technical Competency and Maintenance: Proficient in writing and maintaining operational scripts and automations (e.g., Google Apps Script, Python) to partner effectively with engineering teams, perform system maintenance, and triage bugs. Deep understanding of advanced Google Sheets architecture (Connected Sheets, complex array formulas, query routing) is essential.
• Analytics and Visualizations: Extensive experience building robust data visualizations and dashboards in Business Intelligence tools (e.g., Looker, Tableau).
• Product Documentation: Demonstrated experience writing PRDs, mapping complex workflows, and acting as the liaison between business stakeholders and technical teams.
• Cloud and APIs: Familiarity with cloud computing environments (GCP preferred) and API integrations.
• AI/ML Familiarity: Experience leveraging or deploying Generative AI / LLM-based solutions to automate administrative or operational workflows.