Director, Data Science - Product Management 

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 PlayStation 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 PlayStation brand, a name synonymous with entertainment excellence and creativity.

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

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

This role is responsible for portfolio of products across 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 role will 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, audience intelligence and 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. 

• →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 cross-functional partners. 

• Experience in gaming, digital commerce, subscription, marketplace, streaming, or consumer technology businesses. 
• Deep experience with customer intelligence, player lifecycle analytics, personalization, experimentation, audience intelligence, or growth optimization. 
• Experience defining success metrics and quality standards for data science products, including adoption, reliability, latency, interpretability, fairness, model drift, and business impact. 
• Experience building product management capabilities, teams, or operating models from the ground up. 
• Demonstrated ability to use AI-enabled tools, including generative or agentic AI, to improve product workflows, accelerate insight generation, and enhance decision-making. 

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. 

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.