Senior Product Manager, Analytics & Insights

Autodesk

Canada
Base: $122,000 - $179,300; bonus/equity: annual ca...
On-site
Product strategy for analytics
Data science and finops
Drive product vision and roadmap
Autodesk is seeking a Senior Product Manager for Analytics & Insights to lead product strategy across analytics, data science, and FinOps initiatives. The role requires strong collaboration with various teams to drive data products that enhance business outcomes while emphasizing data-driven decision-making

Job Summary

  • Define and drive the product strategy across analytics, data science, and cloud FinOps initiatives within the Platform organization.
  • Partner closely with Analytics, Data Science, Engineering, and FinOps teams to shape roadmaps, prioritize investments, and deliver data products and insights.
  • This is an exciting opportunity to operate at the intersection of product, data, and cloud efficiency in a high-visibility role.

Matching Summary

Match Score: 85

Autodesk is seeking a Senior Product Manager for Analytics & Insights to lead product strategy across analytics, data science, and FinOps initiatives. The role requires strong collaboration with various teams to drive data products that enhance business outcomes while emphasizing data-driven decision-making.

Salary

Base: $122,000 - $179,300; Bonus/Equity: Annual cash bonuses, stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • product strategy for analytics
  • data science and FinOps
  • drive product vision and roadmap
  • translate business needs to backlog
  • deliver scalable analytics solutions
  • cloud cost visibility and optimization
  • influence cross-functional stakeholders

Nice-to-have

  • SaaS or platform engineering environment
  • machine learning productization
  • cloud cost management practices
  • familiarity with Autodesk ecosystem

Key Requirements

  • 8+ years of experience in Product Management
  • Proven experience owning and delivering data products
  • Strong understanding of analytics and data science
  • Experience with data tools (SQL, BI tools, Snowflake, dbt)
  • Familiarity with cloud platforms (AWS, Azure)
  • Excellent stakeholder management skills

Work Rights

Not specified

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