Senior Manager, GTM Revenue Analytics

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

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• You're an analytics leader who turns raw data into meaningful insight and action. You know that great analysis doesn’t just explain what happened; it helps people understand why it matters and what to do next.

• You thrive in cross‑functional environments and have direct experience partnering closely with GTM Operations, Sales, and Customer Success teams.

• You're curious, a fast learner, and continuously thinking about how to scale your impact through automation and proactive insight. You’re equal parts technical and communicative, and the intersection of analytics and storytelling excites you.

• You have strong management and coaching skills that allow you to actively listen, ask the kind of questions, and elevate the performance of the team members you’ll be managing.

This Senior Manager, GTM Revenue Analytics role exists to ensure Udemy Business's revenue engine is measurable, predictable, and scalable, providing leadership with clear visibility into pipeline health, retention performance, and growth opportunities across the full customer lifecycle. This position involves designing, measuring, and tracking non‑product experiences across the entire lifecycle, driving visibility, transparency, and accountability for revenue growth within the GTM Operations function.

This role is ideal for an analytics leader who enjoys operating at the intersection of data, GTM strategy, and executive decision‑making.

The role will report directly to the Senior Director of Udemy Business Analytics.

• Partner with Udemy Business leadership to proactively surface insights that inform strategic decisions and drive outcomes.

• Lead and manage a team of 5‑7 analytics/data science professionals, providing strategic direction and guidance to support Udemy’s GTM Operations functions.

• Build, hire, and develop a high‑performing analytics team, mentor team members to grow their technical skills and cross‑functional influence, and set clear expectations and accountability.

• Establish best practices for dataset creation, pipelining, and metric standardization to expériment trusted analytical foundation.

• Lead the application of data science and statistical tactics such as regression, time‑series modeling, and other predictive modeling to forecast key business metrics and build alerting mechanisms to spot risk early.

• Provide thought leadership and hands‑on support for our team’s approach to dashboarding and business intelligence (built in Tableau and Databricks).

• Monitor the sales pipeline from lead to conversion, tracking