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26 WD , 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.
Job Requisition ID # 26 WD
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




Minimum Qualifications 8+ years in a related role using people or business data to inform decisions in ambiguous, cross-functional environments
Experience engaging both technical and non-technical stakeholders, including senior leaders, and building trust and alignment without relying on direct authority
Track record of building durable, ongoing relationships with business stakeholders and tailoring solutions to their specific context, rather than one-off project or engagement-based delivery
Comfortable moving between big-picture strategic framing and the technical or operational details of a specific domain, without losing credibility in either direction
Comfortable operating with minimal oversight, setting direction on ambiguous problems, and making judgment calls without an established playbook
Skilled in quantitative and qualitative analysis and data visualization, with the ability to build compelling, decision-ready narratives from disparate signals
Working fluency in research methods (mixed-methods research, causal inference, experimental design) sufficient to evaluate rigor and push back on approach, without personally owning execution
Comfort working directly with structured data (SQL or another querying/analysis language), enough to engage as a credible thought partner with the Data Science & Engineering team rather than relying on their output as a black box
Direct use of AI tools in your own research, analysis, and synthesis work
Enough exposure to the HR technology and vendor landscape to recognize when work should move to a Tech Product Manager, without an expectation to own roadmap, backlog, or vendor decisions
Exposure to data, data environments, databases, and large data sets
Preferred Qualifications Under

📌 Principal people insights partner (Toronto)
🏢 Autodesk
📍 Toronto