Director, Product Analytics

Where we Work

Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays.

About the Role

Udemy is looking to hire a Direcotr of Product Analytics. This is an advanced analytics group focused on using data to drive internal decision-making related to how we build our products.

In this role, you will be responsible for leading and scaling a data science team tasked with providing both vertical (consumer and enterprise product growth, user behavior, and content engagement) and horizontal (experimentation, pricing, and promotions) thought partnership. Success in this highly visible and strategic role requires a combination of strong business acumen, people leadership, and stakeholder management skills.

What you'll do

• Provide high-level technical and career mentorship to team members while actively recruiting, interviewing, and onboarding top talent to support the organization's growth

• Collaborate with other data and analytics leaders to define Udemy's long-term data strategy/vision

• Partner with cross-functional partners across product, design and engineering to shape the product roadmap and drive execution

• Develop, document, and refine internal processes for running the organization at scale

• Synthesize and communicate actionable insights to senior leadership and cross-functional teams, transforming complex data into a compelling narrative that drives decision-making.

• Maintain high quality standards for data science work and recruiting

What you'll have

• 10+ years of experience in data science roles

• 5+ years of management experience, including at least 2+ years of experience at equivalent of Director level or above

• Experience with scaling analytics in large consumer or enterprise internet companies

• A passion for education and a strong belief in Udemy's mission to improve lives through learning

• Strong knowledge of applied statistics, experimental design, and causal inference

• Broad familiarity with modern software development and data engineering principles

• Hands-on experience with modern data platforms (e.g., Databricks, Redshift, Snowflake, BigQuery) and BI tools (e.g., Tableau, Looker, Mode)

• Proficiency in SQL Python for data manipulation and analysis

• Ability to communicate effectively with non-technical stakeholders

• Excellent written and oral communication skills

• Self-driven, highly motivated, and able to learn quickly

Posting Date: 10/21/2025

Application Window: We anticipate the application window will be open until 11/10/2025. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.