People Analytics & AI Specialist

Faire•New York City, NY

1d•Hybrid

About The Position

Faire is seeking a People Analytics & AI Specialist who possesses both technical fluency and people-function context. This role will be responsible for owning how People Team data is structured, governed, and utilized, acting as a liaison between the People and IT departments to enable AI-driven work. The ideal candidate understands the complete data-to-decision process and can enhance its speed and reliability, while actively contributing to an AI-augmented People function. This is a hybrid role requiring 3 days per week in the office.

Requirements

Technical fluency: comfortable working in data environments, able to write or interpret SQL, work with HRIS/HCM systems at a configuration level, and possess sufficient familiarity with data pipelines to collaborate effectively with engineers.
AI tool judgment: experience working with or evaluating AI tools in a workflow context, ability to assess fit, scope use cases, and differentiate between time-saving and risk-creating applications.
Cross-functional translation: ability to communicate effectively between People Team and IT/engineering discussions, translating needs, priorities, and constraints for both audiences.
Structured problem-solving: ability to bring rigor to ambiguous situations, create structure for messy data or process problems, define scope, output, and timelines.
Influence without authority: ability to drive progress by building trust, setting clear expectations, and advocating for prioritization, without formal team or budget ownership.

Nice To Haves

People function knowledge: understanding of HR data flows (hiring, onboarding, performance, comp, exits) and the questions leaders and HRBPs seek to answer.
Awareness of gaps between system data and operational reality.

Responsibilities

Ensure People Team data is clean, documented, and accessible with clear ownership, defined governance, and a shared understanding of its application to various use cases.
Provide business leaders and key People org members with reliable, self-service access to essential metrics such as headcount, attrition, talent pipeline, and org health, reducing reliance on single points of contact.
Develop a collaborative model between People and IT for data and AI projects, establishing clear intake, prioritization, and delivery norms.
Establish and maintain People data governance standards, including data definitions, audit processes, and documentation, to ensure a trusted source of truth.
Monitor integration runs, troubleshoot data syncs, and perform User Acceptance Testing (UAT) for HRIS changes.
Develop a clear AI roadmap based on input from People leaders, including a prioritized backlog informed by actual workflow analysis.
Support and partner with People team leaders to drive towards an end state where the function is meaningfully augmented by AI tooling, by scoping, building, and developing comprehensive rollout plans.