Principal Product Manager, Applied AI & Data Science

Role Description

We 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.

Responsibilities

• Translate strategy into detailed product roadmaps, execution plans, milestones, and measurable outcomes.
• Own roadmap development and prioritization across various initiatives including:
  • Enterprise data hub
  • AI-ready data products
  • Self-service conversational analytics
  • Data-as-a-service capabilities
  • Bring-your-own-data capabilities
  • Semantic data models
  • AI value realization initiatives
• Bring strong fluency in data, analytics, and AI to help define dashboards and reporting as data and AI products.
• Make and defend prioritization decisions and communicate those decisions clearly to engineering and stakeholder teams.
• Lead intake, discovery, and backlog refinement across a high volume of stakeholder requests, focusing on delivering the most value to the broadest set of users.
• Convert business needs into clear product requirements documents, user stories, acceptance criteria, business value statements, and delivery milestones.
• Partner with engineering, data science, applied AI, architecture, governance, and business stakeholders to ensure roadmap items are clearly scoped, sequenced, and delivered.
• Track roadmap progress, risks, dependencies, blockers, decisions, and stakeholder commitments to maintain delivery alignment.
• Drive adoption and product health measurement, including usage, reuse, data quality, freshness, stakeholder satisfaction, and realized business value.
• Support executive communication through concise roadmap updates, delivery status, trade-off decisions, and business impact summaries.
• Maintain alignment across Airtable, Jira, Wiki, and related planning and documentation systems.
• Shift the team’s delivery model from reactive, request-by-request execution to a scalable portfolio of reusable, governed AI and data products that Autodesk owns outright.

Qualifications

• 8+ years of product management experience, including experience owning roadmaps for data, analytics, or AI/ML platform products.
• Strong fluency in data and AI concepts — semantic data models, data pipelines, and machine learning / generative AI applications — sufficient to partner credibly with engineering and data science.
• Proven experience partnering with engineering, data science, architecture, and governance teams to scope and deliver complex, cross-functional initiatives.
• Excellent written and verbal communication skills, including experience presenting roadmaps, trade-offs, and business impact to executive stakeholders.
• Hands-on experience with product and delivery tooling such as Jira, Airtable, and Confluence/Wiki.
• Bachelor's degree in a related field, or equivalent practical experience.

Benefits

• From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work.
• Salary transparency: Starting base salary between $123,900 and $222,129, with potential for annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.