Senior Product Manager, Analytics & Insights

Autodesk • Vancouver, BC

22d

About The Position

Autodesk has invested deeply in data-driven decision-making to optimize our platform's business, product, and cloud efficiency. Over the next five years, we expect a significant expansion in data scale and increased adoption of AI/ML to deliver greater value to our customers. As a Senior Product Manager, Analytics & Insights, you will define and drive the product strategy across analytics, data science, and cloud FinOps initiatives within the Platform organization. This is a highly cross-functional role where you will partner closely with Analytics, Data Science, Engineering, and FinOps teams to shape roadmaps, prioritize investments, and deliver data products and insights that drive measurable business impact. You are passionate about solving complex business problems through data and product thinking. You proactively identify opportunities, bring structure to ambiguity, and ensure that data initiatives are aligned with platform strategy and outcomes. This role requires strong influence without authority, as you will work across multiple teams without direct ownership of those functions. This is an exciting opportunity to operate at the intersection of product, data, and cloud efficiency in a high-visibility role within Autodesk's Platform Strategy and Emerging Technologies organization.

Requirements

• 8+ years of experience in Product Management in Analytics, Data Science, FinOps or related roles
• Proven experience owning and delivering data, analytics, or platform products
• Strong understanding of analytics, data science workflows, and data-driven decision-making
• Experience with data tools and technologies (e.g., SQL, BI tools, Snowflake, dbt)
• Familiarity with cloud platforms (AWS, Azure) and exposure to FinOps or cloud cost optimization concepts
• Strong product thinking and ability to connect business problems to scalable data solutions
• Excellent stakeholder management and ability to influence without authority

Nice To Haves

• Experience in a SaaS or platform engineering environment
• Exposure to machine learning productization and experimentation (A/B testing)
• Experience with cloud cost management, unit economics, or FinOps practices
• Familiarity with Autodesk's product ecosystem

Responsibilities

• Define and own the product vision and roadmap for analytics, data science, and FinOps capabilities aligned with Platform OKRs
• Translate business needs into a prioritized backlog of data products, insights, and platform capabilities
• Partner with Analytics, Data Science, and Engineering teams to deliver scalable analytics solutions, ML-driven capabilities, and data products
• Drive the productization of insights, ensuring they are actionable, accessible, and embedded into decision-making workflows
• Work with FinOps and Engineering teams to define and deliver capabilities for cloud cost visibility, attribution, and optimization
• Influence cross-functional stakeholders and senior leaders to align on priorities, trade-offs, and outcomes
• Own end-to-end delivery of initiatives from problem definition through execution and impact measurement
• Communicate insights, recommendations, and product direction clearly to technical and non-technical audiences

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed