Director, Data Science - Product Management
at Sonyinteractiveentertainmentglobal
- Seniority
- Director Plus
- Location
- United States, San Mateo, CA
- Posted
- 5d ago
pythonsnowflakespark
at Sonyinteractiveentertainmentglobal
<div class="content-intro"><p><strong>Why Sony Interactive Entertainment?</strong></p> <p>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.</p></div><h1><span data-contrast="none"><span data-ccp-parastyle="heading 1">Director, Data Science - Product Management</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":360,"335559739":80}"> </span></h1> <h4><strong>San Mateo, CA</strong></h4> <p><span data-contrast="auto">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.</span><span data-ccp-props="{}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">About the Role</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":160,"335559739":80}"> </span></strong></p> <p><span data-contrast="auto">We are seeking a </span><strong><span data-contrast="auto">Director of Data Science Product Management</span></strong><span data-contrast="auto"> to lead the strategy, prioritization, and execution of data science to drive better decision-making and player experiences across PlayStation.</span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":0,"335559737":0,"335559738":0,"335559739":160,"335559740":279}"> </span></p> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":0,"335559737":0,"335559738":0,"335559739":160,"335559740":279}"> </span></p> <p><span data-contrast="auto">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.</span><span data-ccp-props="{}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Key Responsibilities</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":160,"335559739":80}"> </span></strong></p> <ul> <li><span data-contrast="auto">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.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="auto">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.</span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":0,"335559737":0,"335559738":0,"335559739":160,"335559740":279}"> </span></li> <li><span data-contrast="auto">Establish clear criteria for when analytical work should remain exploratory, become a recurring decision process, or graduate into a production-grade product.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="auto">Define success metrics and quality standards for data science products, including business impact, adoption, reliability, interpretability, model quality, operational sustainability, and decision quality.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="auto">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.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="auto">Influence senior stakeholders across functions to align strategy, clarify priorities, manage tradeoffs, and drive adoption of data science products.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="auto">Guide Product Managers across the product lifecycle while directly leading or sponsoring the organization's highest-impact and most ambiguous product initiatives.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="auto">Create a strong Data Science product culture centered on hypothesis-driven discovery, evidence-based prioritizat