Job Requisition ID # 26WD101077 L'affichage de poste en français suivra / The French job posting follows. 26WD101077, Principal People Insights Partner Position Overview People Insights & Solution Design (PI-SD) builds the research, data, technology, and AI foundations that help Autodesk's People & Places (PPL) organization continuously evolve and create impact for nearly 15,000 Autodesk employees worldwide. The team spans employee listening and research, people data science and engineering, AI strategy and transformation, and people insights and product management, each bringing a different lens to how Autodesk understands and acts on what's happening across its workforce. You'll join People Insights, Product & Technology, the team within PI-SD responsible for insight partnership, people product management, and the PPL technology stack. Reporting to the Director who leads all three, you'll work alongside Product Managers who own Autodesk's people technology portfolio and fellow Insights Partners who turn business needs into decision‑ready evidence. As a Principal People Insights Partner, you'll work across multiple domains rather than a single system or team, stitching together evidence to inform both Autodesk's people strategy, as well as the product and technology strategy built to support it. Your work will directly shape the decision‑grade intelligence that guides how PPL leaders act. This is a partnership, not a project engagement. You'll build a deep enough understanding of each stakeholder's world that what you deliver is built specifically for them, not repurposed from the last request. That means staying close enough to help leaders see around corners, while going deep enough into the details of their domain that what you bring back holds up.



This is a hybrid role with preference for candidates located the following locations: US (Denver, Portland, San Francisco, Boston) or Canada (Toronto, Vancouver, Montreal). Compensation ranges tied to location. Responsibilities

Build and sustain trusted relationships with PPL Centers of Excellence and leaders, understanding their context deeply enough that each deliverable is built for their specific decision, not adapted from a template Combine business context from COEs, People Business Partners, and PPL Go-To-Market with evidence from People Data Science & Engineering, EX Listening & Research, and AI Strategy and Transformation to build a shared understanding of the problem Scan across lifecycle topics for emerging questions and patterns before a formal request is made, and surface them to COEs proactively Reframe broad or ambiguous requests (e.g. “build a dashboard”) into decision‑focused evidence questions Activate the right capability for the problem at hand: data science, listening and research, or AI strategy, rather than defaulting to a single output type Apply working fluency in research methods (mixed‑methods research, causal inference, experimental design) to evaluate rigor and shape approach, even when execution sits with Data Science & Engineering or EX Listening & Research Coordinate delivery of the right output (a decision brief, dashboard, research finding, model, or targeted analytic tool) and iterate as the evidence develops Interpret evidence in context:



explain what a signal shows, what it does not prove, and where it's concentrated versus broad‑based Connect narrative, evidence, and trade‑offs into decision‑grade intelligence, offering directional recommendations when the evidence supports them, while leaving the decision to act with the COE Influence the development of actionable KPIs that inform COE and executive decisions Recognize when a point‑in‑time analytic need is becoming a durable product need, signaled by repeat demand across users, a broadening audience, or a roadmap and support requirement becoming material Flag productization triggers to the COE and route qualified opportunities into Tech Product Manager intake, handing off evidence and context rather than owning the resulting roadmap, backlog, or vendor relationship Partner with Tech Product Managers through the handoff so context isn't lost in the transition, without taking on product ownership Mentor other Insights Partners and researchers, raising the bar on research design, analysis rigor, and how findings get communicated to stakeholders Help set standards for research design, data quality, and ethical handling of sensitive employee data across insights work Responsabilités

Établir et entretenir des relations de confiance avec les Centres d’excellence et les dirigeants de PPL, en comprenant suffisamment bien leur contexte pour que chaque livrable soit conçu spécifiquement pour leur décision, et non adapté à partir d’un modèle Combiner le contexte métier fourni par les Centres d’excellence, les Partenaires métier RH et l’équipe PPL Go-To-Market avec les données issues des équipes People Data Science & Engineering, EX Listening & Research et AI Strateg

📌 Principal People Insights Partner (Toronto)
🏢 Autodesk
📍 Toronto