Manager, Data Science - Ads

The Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. You’ll work closely with partner teams to build workflows, provide recommendations, and drive success on end-to-end analytics initiatives in this 0-to-1 space.

We are seeking an experienced Manager, Ads DSE Measurement & Audience Insights to lead the development and delivery of innovative first-party measurement solutions, enable seamless integration with third-party measurement providers, and deliver end-to-end measurement reporting that powers actionable post-campaign insights. Your team will be responsible for defining incrementality design and methodology, drive cross-platform comparability, and ensure the accuracy of our reporting frameworks. This critical role will be responsible for establishing a scientifically rigorous, privacy-forward foundation for campaign impact measurement. 

The ideal candidate will bring a strong track record of partnering with product, engineering, and regional measurement teams to build measurement products that are both technically robust and commercially valuable. Join us and help shape the future of ad measurement through science, experimentation, and productized insights!

Responsibilities 

• Build, lead, and inspire a high-performing team of data scientists and analytics engineers.

• Foster strong, collaborative partnerships with key stakeholders across Product, Engineering, and GTM teams.

• Define and execute a team charter and measurement roadmap that scales with the business—prioritizing high-impact initiatives, product integrations, and standardized post-campaign reporting capabilities.

• Act as a bridge between technical and commercial teams, bringing deep understanding of the ads ecosystem—including how CTV campaigns are served, measured, and optimized—to shape both product features and go-to-market narratives.

• Oversee integration and validation of third-party measurement partners, ensuring accuracy, consistency, and interoperability with internal systems while evaluating when first-party solutions provide differentiated value.

• Ensure the delivery of consistently high-quality, statistically rigorous measurement outputs, including campaign lift results, incrementality experiments, and actionable insights that influence product direction and client strategies.

• Champion clarity in reporting and visualization, guiding the development of self-serve dashboards, post-campaign wrap reports, and executive summaries that resonate with both technical and non-technical audiences.

The Ideal Candidate 

• Proven leadership experience with a strong focus on data-as-a-product solutions, including building first-party measurement frameworks, self-serve reporting tools, and actionable insights platforms.

• Demonstrated tenacity and resilience in driving complex, cross-functional projects—able to navigate challenges, propose innovative solutions, and scale measurement and reporting capabilities that meet diverse business needs.

• A dual thinker—highly quantitative and capable of translating complex data sets into actionable business insights, while also demonstrating high emotional intelligence (EQ) to act as a trusted product ambassador to internal teams and external business partners.

• Player-coach mindset—able to develop long-term measurement roadmaps and product strategies, while simultaneously executing hands-on technical tasks and ensuring the team delivers high-quality, impactful outputs.

• Excellent communicator, able to build relationships, communicate technical and non-technical information clearly, write detailed reports, and deliver compelling presentations to internal and external partners.

• Business-minded with the ability to translate strategic objectives into actionable analyses, and use those insights to drive data-driven recommendations that optimize product offerings and advertising effectiveness.

• A passion for TV and movies, and defining the future of entertainment.