Data Science Engineering Manager

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. At Netflix, we seek to entertain the world by inventing entertainment experiences our people can’t live without and connecting them with stories for our over 300 million members in 190 countries. The core function of the Netflix product is to distribute our entertainment offerings - TV series, film, games, live events, podcasts, etc. - to our members. When a Netflix member opens our app, the product aims to help them choose a story to watch or a game to play that is right for them at that moment. To do this well, we need both a deep understanding of our content and the intelligence to present the right evidence (artwork, trailers, synopses, etc.) to enable their choice. The Creative Production DSE sits at the intersection of evidence production and content understanding. We are a team of data scientists and analytics engineers who partner closely with world-class product, merchandising, AI, and engineering teams. We help inform the production of artwork, trailers, and text descriptions of our titles, as well as the quality and completeness of title metadata through rigorous analyses, in-product experimentation, mathematical modeling, and analytics. We are looking for an exceptional leader to manage this team and work in highly cross-functional settings amidst a complex and global stakeholder landscape. A strong candidate for this role is able to inform decision making using data and exceptional judgment, possesses excellent communication and collaboration skills, and is a strong, seasoned people leader who can effectively guide a talented team. This role is based in Amsterdam, Netherlands. In this role, you will: Lead a team of technical roles across data science and analytics engineering to shape the measurement and innovation strategy for the asset creation and content understanding spaces, balancing the needs of multiple stakeholders to drive durable business impact Own end-to-end outcomes for measurement and insights in your domain, ensuring the team delivers timely, decision-ready work that meaningfully shapes product direction and development Partner closely with other functions to frame the right problems, surface tradeoffs, and build a shared, causal understanding of content distribution Set a clear vision and direction for the team, establishing priorities and operating norms that enable strong thought partnership, high-quality execution, and sustained impact Act as a role model for Netflix values in day-to-day work and interactions, demonstrating strong judgment, candor, and accountability To be successful in this role, you will have: Demonstrated experience leading data science, analytics, or related technical teams in product-focused domains, with accountability for both setting direction and delivering outcomes Strong analytical judgment and structured thinking, with the ability to move from messy data and ambiguous problems to clear insights, recommendations, and decisions Exceptional communication and collaboration skills, including the ability to influence partners through clear framing, tradeoff articulation, and compelling data storytelling A track record of operating effectively in ambiguous, fast-moving environments, exercising strong ownership and judgment with minimal process or oversight A track record of developing and/or mentoring senior ICs into trusted thought partners, increasing both their individual impact and the team’s overall leverage Ideally worked with stakeholders across multiple time zones, and been successful at developing durable ways of working Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.