Director, Data Science - Product Management

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the Play Station brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world.

Our role at SIE is to create and nurture the experiences under the Play Station brand, a name synonymous with entertainment excellence and creativity.

At Sony Interactive Entertainment, Play Station creates unforgettable gaming experiences for millions of players around the world. As a global leader in interactive entertainment, weoperateatmassivescale across a complex digital ecosystem spanning hardware, software, services, commerce, marketing, and player engagement.

About the Role

We are seeking a Director of Data Science Product Management to lead the strategy, prioritization, and execution of data sciencetodrive better decision-making and player experiences across Play Station.

This roleis responsible forportfolioofproductsacross the data science lifecycle
-identifying high-value analytical opportunities, shaping predictive and decision products, and ensuring they deliver measurable business outcomes through adoption,monitoring and continuous improvement.

The rolewill lead a team of Data Science Product Managers responsible for applying data science to solve business problems, including capabilities across customer lifetime value, player lifecycle intelligence, forecasting,simulations, audienceintelligenceand decision automation.

The Director will help ensure that SIE’s data science investments are focused on the highest-impact opportunities, built with strong product discipline, and adopted in the workflows where they can create measurable business value.

Key Responsibilities

• Translate business priorities into structured problem statements, investment cases, product strategies, and measurable outcomes, ensuring data science work is managed as a scalable product portfolio rather than one-off analytical requests.
• Drive product strategy and lifecycle ownership for player value and decision intelligence capabilities, such as CLV, engagement and forecasting, ensuring high quality products are advanced from discovery through productionization, adoption, monitoring, iteration, and long-term value realization.
• Establish clear criteria for when analytical work should remain exploratory, become a recurring decision process, or graduate into a production-grade product.
• Define success metrics and quality standards for data science products, including business impact, adoption, reliability, interpretability, model quality, operational sustainability, and decision quality.
• Partner with Data Science and Analytics leaders to ensure rigor across experimentation, causal inference, forecasting, incrementality measurement, model evaluation, and value analysis, while promoting these approaches as core decision-making tools.
• Influence senior stakeholders across functions to align strategy, clarify priorities, manage tradeoffs, and drive adoption of data science products.
• Guide Product Managers across the product lifecycle while directly leading or sponsoring the organization’s highest-impact and most ambiguous product initiatives.
• Create a strong Data Science product culture centered on hypothesis-driven discovery, evidence-based prioritization, measurable business impact and close partnership with…