Netflix is looking to improve its games portfolio by using data science and engineering to enhance decision-making in areas like finance, strategy, licensing, and acquisition. The company needs a leader to guide a team that provides data strategy, forecasting, and insights to shape the overall games strategy and drive business growth.
Requirements
- Demonstrated experience building, managing, growing, and inspiring data science and analytics teams, with 5+ years managing highly technical individual contributors.
- Possesses deep expertise in data science, analytics engineering, and business analytics, with a focus on standardization, scalability, and systematic frameworks.
Responsibilities
- Lead a team in building and maintaining core dashboards, establishing consistent frameworks for title performance reporting, and creating an effective metric ecosystem across all games.
- Drive forecasting and enable slate optimization by guiding the development and evolution of forecasting models for engagement and performance that inform critical business decisions.
- Oversee the creation of tools for slate planning and optimization, and provide strategic support for content investments and resource allocation.
- Serve as the primary source of audience intelligence by partnering with Finance & Strategy and Consumer Insights to conduct competitive market analysis, audience research, licensing intelligence, and other strategic analyses to position Netflix Games competitively.
- Foster cross-domain collaboration by partnering with sister DSE teams across content categories (TV/movie and Live) to create a unified understanding of members across streaming, live events, and games.
- Lead causal research to measure the lift and engagement between different media types.
- Coach and inspire a high-performing team, providing guidance and mentorship to ensure scalable, consistent, and high-impact insights.
Other
- Brings exceptional business acumen and the ability to influence senior leaders across various disciplines and business domains.
- Prioritizes business impact and team success above all else, creating an environment where the team can lead and excel, with no room for ego.
- Demonstrates strong interpersonal and communication skills, with a proven ability to influence both technical and business senior leaders.
- Is comfortable with ambiguity and serves as a role model for the team through a consistently positive and collaborative approach.
- Holds a Ph.D. or advanced degree in Economics, Statistics, Mathematics, Business Analytics, or a related field.
