GTM Data Science Director: Customer Insights & Growth

Autodesk; San Francisco (CA); Hybrid; USD 210,000 - 270,000; Full time

Benefits offered by this job

Salary transparency

Belonging

In-Person onboarding

Job summary

Autodesk is seeking a Senior Manager, GTM Data Science to lead a diverse team and own the portfolio of data science initiatives that improve customer engagement, retention, and growth. You will translate business objectives into analytical problems, collaborate with Sales, Marketing, and Customer Success, and drive measurable business value.

You will guide end-to-end model development, deployment, and adoption while maintaining high technical and people leadership standards within a fast-paced,

Qualifications

• 8+ years in data science, machine learning, or analytics with hands-on experience.
• 3+ years managing data science or analytics teams.
• Advanced degree in statistics, math, CS, economics, or engineering.
• Strong fluency in Python or R and SQL for design and reviews.
• Experience delivering analytics products from problem to impact.

Responsibilities

• Shape multi-quarter data science roadmap for customer engagement use cases.
• Partner with senior leaders to identify high-value decisions.
• Translate business questions into analytical frameworks and metrics.
• Provide strategic guidance to executives and cross-functional partners.
• Define success metrics and drive adoption and outcomes across GTM.

Skills

Data science leadership

ML product leadership

Stakeholder management

Strategic thinking

Communication

Team building

Mentoring

Performance management

Education

Advanced degree in quantitative field

Tools

Python

SQL

R

Job description

Autodesk is seeking a Senior Manager, GTM Data Science to lead a diverse team and own the portfolio of data science initiatives that improve customer engagement, retention, and growth. You will translate business objectives into analytical problems, collaborate with Sales, Marketing, and Customer Success, and drive measurable business value.

You will guide end-to-end model development, deployment, and adoption while maintaining high technical and people leadership standards within a fast-paced,