Director, Product Management - Data Science

<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>Director, Product Management - Data Science</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&nbsp;operate&nbsp;at&nbsp;massive&nbsp;scale across a complex digital ecosystem spanning hardware, software, services, commerce, marketing, and player engagement.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">About the Role</span></span><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}">&nbsp;</span></strong></p> <p><span data-contrast="auto">We are seeking a&nbsp;</span><strong><span data-contrast="auto">Director of Data Science Product Management</span></strong><span data-contrast="auto">&nbsp;to lead the strategy, prioritization, and execution of data science&nbsp;to&nbsp;drive better decision-making and player experiences across PlayStation.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}">&nbsp;</span></p> <p><span data-contrast="auto">This role&nbsp;is responsible for&nbsp;portfolio of&nbsp;products&nbsp;across the data science lifecycle -&nbsp;identifying&nbsp;high-value analytical opportunities, shaping predictive and decision products, and ensuring they deliver measurable business outcomes through adoption,&nbsp;monitoring&nbsp;and continuous improvement.&nbsp;The role&nbsp;will lead a team of Data Science Product Managers responsible for&nbsp;applying data science to solve business problems, including capabilities across customer lifetime value, player lifecycle intelligence, forecasting,&nbsp;simulations, audience&nbsp;intelligence&nbsp;and decision automation.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}">&nbsp;</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="{}">&nbsp;</span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Key Responsibilities</span></span><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}">&nbsp;</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="{}">&nbsp;</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&nbsp;high quality&nbsp;products are advanced from discovery through&nbsp;productionization, adoption, monitoring, iteration, and long-term value realization.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}">&nbsp;</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="{}">&nbsp;</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="{}">&nbsp;</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="{}">&nbsp;</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="{}">&nbsp;</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="{}">&nbsp;</span></li> <li><span data-contrast="auto">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.</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Qualifications</span></span></strong><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}">&nbsp;</span></p> <ul> <li><span data-contrast="auto">Bachelor’s degree in Business, Data Science, Computer Science, Statistics, Economics, Engineering, or&nbsp;a related field.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">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.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">6+ years of people management experience, including experience leading Product Managers or senior product-oriented analytics leaders.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">Proven experience leading complex, cross-functional portfolios involving Data Science, ML Engineering, Analytics, Data Engineering, and business stakeholders.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">Strong understanding of data science and machine learning workflows, including experimentation, predictive modeling, forecasting, segmentation, recommender systems, lifecycle modeling,&nbsp;productionization, and monitoring.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">Experience with products or capabilities related to CLV/LTV, personalization, churn, propensity modeling, forecasting, audience targeting, marketing optimization, commerce, or digital engagement.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">Familiarity with modern data and ML ecosystems such as SQL, Python, Snowflake, Spark, feature stores,&nbsp;MLOps&nbsp;tools, model monitoring, APIs, and analytics platforms.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">Demonstrated ability to translate ambiguous business needs into product strategies, roadmaps, priorities, and measurable outcomes.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">Strong executive communication skills, including the ability to translate technical concepts into business impact.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">Experience leading, mentoring, and developing high-performing product teams.</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Preferred Skills</span></span><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}">&nbsp;</span></strong></p> <ul> <li><span data-contrast="auto">Experience in gaming, digital commerce, subscription, marketplace, streaming, or consumer technology businesses.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">Deep experience with customer intelligence, player lifecycle analytics, personalization, experimentation, audience intelligence, or growth optimization.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">Experience defining success metrics and quality standards for&nbsp;data science&nbsp;products, including adoption, reliability, latency, interpretability, fairness, model drift, and business impact.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">Experience building product management capabilities, teams, or operating models from the ground up.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">Demonstrated ability to use AI-enabled tools, including generative or agentic AI, to improve product workflows, accelerate insight generation, and enhance decision-making.</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><span data-ccp-props="{}">&nbsp;</span></p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><span style="font-weight: 400;">At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.<br></span><span style="font-weight: 400;"><br>Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.&nbsp;<br></span><span style="font-weight: 400;"><br>In addition, this role </span><span style="font-weight: 400;">is eligible</span><span style="font-weight: 400;"> for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. </span><span style="font-weight: 400;">This role also may be eligible for a bonus package.</span><span style="font-weight: 400;"> Click&nbsp;</span><a href="https://careers.playstation.com/benefits" target="_blank"><strong>here</strong></a><span style="font-weight: 400;"> to learn more.</span></p> <p>&nbsp;</p></div><div class="title">The estimated base pay range for this role is listed below.</div><div class="pay-range"><span>$273,000</span><span class="divider">&mdash;</span><span>$409,600 USD</span></div></div></div><div class="content-conclusion"><p class="p1">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.</p> <p class="p1">Please refer to our&nbsp;<a href="https://www.playstation.com/legal/careers-privacy-notice/" target="_blank">Candidate Privacy Notice</a>&nbsp;for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.</p> <p><strong>Equal Opportunity Statement:</strong></p> <p><em>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.</em></p> <p><em>We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.&nbsp;</em></p> <p><em>Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.</em></p> <p>&nbsp;</p></div>