<div class="content-intro">About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.</div>About this role: We're looking for someone who brings both technical fluency and people-function context - someone who can own how People Team data is structured, governed, and used, and who can serve as the bridge between People and IT to unlock AI-enabled work. This isn't a pure analytics role or a pure systems role. It's someone who understands the full data-to-decision chain and can make it faster and more reliable - while actively building toward a more AI-augmented People function. What you'll do: <ul> <li>Ensure People Team data is clean, documented, and accessible - with clear ownership, defined governance, and a shared understanding of how we can apply it to different use cases</li> <li>Business leaders and key members of the People org have reliable, self-service access to the metrics that matter most (headcount, attrition, talent pipeline, org health) - without routing every request through a single person</li> <li>Build towards a working model for how People and IT collaborate on data and AI projects - clear intake, prioritization, and delivery norms that didn't exist before</li> <li>Establish and maintain People data governance standards - including data definitions, audit processes, and documentation - so the org has a clear, trusted source of truth</li> <li>Monitor integration runs, troubleshooting data syncs, and UAT for HRIS changes</li> <li>Based on input from People leaders, develop a clear AI roadmap, including a prioritized backlog grounded in actual workflow analysis</li> <li>Support and partner with People team leaders to drive towards an end state of meaningfully augmented by AI tooling by scoping, building, and developing comprehensive roll out plans</li> </ul> What it takes: <ul> <li>Technical fluency Comfortable working in data environments - can write or interpret SQL, work with HRIS/HCM systems at a configuration level, and has enough familiarity with data pipelines to partner credibly with engineers. Doesn't need to build everything themselves, but can't be a passenger in technical conversations.</li> <li>AI tool judgment Has worked with or evaluated AI tools in a workflow context - not just theoretical familiarity. Can assess fit, scope a use case, and distinguish between "this saves time" and "this creates risk." Knows when to pilot and when to wait.</li> <li>Cross-functional translation Can move fluently between a People Team conversation and an IT/engineering conversation - translating needs, priorities, and constraints in both directions without losing either audience.</li> <li>Structured problem-solving Brings rigor to ambiguous situations. Can take a messy data or process problem and create a workable structure - clear scope, defined output, realistic timeline.</li> <li>Influence without authority This role doesn't own a team or a budget. Gets things done by building trust, setting clear expectations, and making the case for prioritization. Comfortable being the person who moves things forward without having formal control over them.</li> </ul> Nice to have: <ul> <li>People function knowledge Understands how HR data flows - hiring, onboarding, performance, comp, exits - and what questions leaders and HRBPs are actually trying to answer. Knows where the gaps between system data and operational reality typically live.</li> </ul> Salary Range: New York: the pay range for this role is $148,000 - $203,500 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.<div class="content-conclusion">Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.  Why you’ll love working at Faire <ul> <li>Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.</li> <li>Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.</li> <li>Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.</li> <li>Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.</li> <li>Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.</li> </ul> Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our <a href="https://blog.faire.com/">blog</a>. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs.  To request reasonable accommodation, please fill out our <a href="https://docs.google.com/forms/d/e/1FAIpQLSczpI9me7nYKhunSC6AlagHKv75LHqfi-Qi2TP_3dpin0Uc9Q/viewform">Accommodation Request Form</a> (<a href="https://bit.ly/faire-form)">https://bit.ly/faire-form)</a> Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s <a class="c-link" href="https://www.faire.com/privacy" target="_blank" data-stringify-link="https://www.faire.com/privacy" data-sk="tooltip_parent">Privacy Notice (https://www.faire.com/privacy)</a></div>

People Analytics & AI Specialist

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