Technical Program Manager

Data is central to measuring all aspects of our business and essential to our growth. We’re looking for someone to join Autodesk’s Product Development & Manufacturing Solutions organization as a Technical Program Manager on our Data & Analytics team. You will collaborate with business partners across Product, Finance, Sales and Marketing, as well as Data Engineering, Analytics & Data Science, to drive delivery of critical data initiatives.

At Autodesk we value a hybrid work location culture. Remote work is supported in Toronto and Vancouver, Canada. If you live near one of our offices, you are welcome to work there full or part-time based on your preference.

• Own end-to-end delivery of data and analytics programs, including data platform enhancements and tooling migrations.
• Partner with Data Engineering, Analytics, and business stakeholders to define program scope, requirements, and success metrics.
• Define, operationalize, and track key business and program metrics (e.g., product adoption, data quality, pipeline reliability).
• Translate business requirements into technical program plans aligned with data architecture.
• Identify and manage dependencies, risks, bottlenecks, and trade-offs across programs; drive mitigation plans and unblock teams.
• Communicate program status, risks, and outcomes, and drive alignment through planning processes (e.g., road mapping, sprint planning) across all levels of leadership.
• Improve operational processes, documentation, and program management best practices.
• Ensure data governance, quality, and scalability considerations are embedded across initiatives.

• 5+ years experience in technical program management, engineering, or data‑related roles, including 3+ years communicating program outcomes to executives.
• Strong understanding of data ecosystems, including pipelines, ETL/ELT, and data warehousing.
• Experience with cloud data platforms and modern data stack (e.g., Snowflake, DBT, Airflow, Spark, AWS).
• Experience delivering cross‑functional data programs in partnership with Data Engineering and Analytics teams in SaaS or product‑led growth environments.
• Experience with Agile/Scrum methodologies and tools (e.g., Jira, Atlassian, SharePoint, Airtable).
• Strong communication, problem‑solving, and organizational skills, with experience operating in fast‑paced, ambiguous environments.
• Proven ability to manage stakeholders across Product, Engineering, Finance, Sales, and Marketing.
• Degree in a quantitative field or equivalent experience.

• Proficiency in SQL and ability to engage in technical discussions (Python or scripting is a plus).
• Familiarity with product analytics, experimentation frameworks, or clickstream data.
• Experience supporting analytics across Sales, Marketing and Product ecosystems (e.g., Salesforce, Marketo, Amplitude).
• Experience implementing or driving data governance and data quality frameworks at scale.