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Principal Product Manager, Applied AI & Data Science

Autodesk · Flexible / Remote

Publicada em 21/08/2026

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Job Requisition ID #26WD100239Position OverviewWe are seeking a Principal Product Manager for the Applied AI, Data Science, and Data Engineering team within the Enterprise Systems and Experience (ESE) organization. This team owns and operates the enterprise data foundation that ESE builds on - semantic data models, AI-ready data products, and the agents and automations that reason across that data to drive workforce productivity. This team's mandate is to build scalable, reusable products that deliver lasting value.This Principal PM will bring product discipline to a fast-growing portfolio: clear roadmaps, sharp prioritization, and consistent delivery of measurable, visible outcomes to stakeholders across the company.ResponsibilitiesTranslate strategy into detailed product roadmaps, execution plans, milestones, and measurable outcomesOwn roadmap development and prioritization across the enterprise data hub, AI-ready data products, self-service conversational analytics, data-as-a-service capabilities, bring-your-own-data capabilities, semantic data models, and AI value realization initiativesBring strong fluency in data, analytics, and AI, and apply it to help define dashboards and reporting as data and AI productsMake and defend prioritization decisions and communicate those decisions clearly to engineering and stakeholder teamsLead intake, discovery, and backlog refinement across a high volume of stakeholder requests, with a consistent lens on what delivers the most value to the broadest set of usersConvert business needs into clear product requirements documents, user stories, acceptance criteria, business value statements, and delivery milestonesPartner with engineering, data science, applied AI, architecture, governance, and business stakeholders to ensure roadmap items are clearly scoped, sequenced, and deliveredTrack roadmap progress, risks, dependencies, blockers, decisions, and stakeholder commitments to maintain delivery alignmentDrive adoption and product
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