Director, Data Science Product Management

Why Sony Interactive Entertainment

Sony Interactive Entertainment isnt just the Best Place to Play its also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation were 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 weoperateatmassivescale across a complex digital ecosystem spanning hardware software services commerce marketing and player engagement.

About the Role

We are seeking aDirector of Data Science Product Managementto lead the strategy prioritization and execution of data sciencetodrive better decision-making and player experiences across PlayStation.

This roleis responsible forportfolio ofproductsacross the data science lifecycle -identifyinghigh-value analytical opportunities shaping predictive and decision products and ensuring they deliver measurable business outcomes through adoptionmonitoringand continuous rolewill lead a team of Data Science Product Managers responsible forapplying data science to solve business problems including capabilities across customer lifetime value player lifecycle intelligence forecastingsimulations audienceintelligenceand decision automation.

The Director will help ensure that SIEs 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 ensuringhigh qualityproducts are advanced from discovery throughproductionization 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 organizations 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.

Qualifications

• Bachelors degree in Business Data Science Computer Science Statistics Economics Engineering ora related field.
• 15 years of relevant experience including 8 years in digital product management data product management AI/ML product management analytics product management or related roles.
• 6 years of people management experience including experience leading Product Managers or senior product-oriented analytics leaders.
• Proven experience leading complex cross-functional portfolios involving Data Science ML Engineering Analytics Data Engineering and business stakeholders.
• Strong understanding of data science and machine learning workflows including experimentation predictive modeling forecasting segmentation recommender systems lifecycle modelingproductionization and monitoring.
• Experience with products or capabilities related to CLV/LTV personalization churn propensity modeling forecasting audience targeting marketing optimization commerce or digital engagement.
• Familiarity with modern data and ML ecosystems such as SQL Python Snowflake Spark feature storesMLOpstools model monitoring APIs and analytics platforms.
• Demonstrated ability to translate ambiguous business needs into product strategies roadmaps priorities and measurable outcomes.
• Strong executive communication skills including the ability to translate technical concepts into business impact.
• Experience leading mentoring and developing high-performing product teams.

Preferred Skills

• 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 fordata scienceproducts 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.

Please note Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to ourCandidate Privacy Noticefor more information about what personal information we collect how we use it who we share it with and your data protection rights.

Equal Opportunity Statement:

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.