Director, Product Management - Data Science

Sony Interactive Entertainment; San Mateo (CA); Sur place; USD 273 000 - 410 000; Plein temps

Résumé du poste

Sony Interactive Entertainment is seeking a Director of Data Science Product Management to lead strategy, prioritization, and execution of data science initiatives across PlayStation. This role will oversee a portfolio spanning CLV, lifecycle intelligence, forecasting, simulations, and audience intelligence, partnering with analytics leaders to deliver measurable business value.

The Director will drive discipline in experimentation, productionization, and adoption, guiding senior stakeholders

Qualifications

• Bachelor’s 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 modeling,productionization, 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 stores,MLOpstools, 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.

Responsabilités

• 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 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.

Connaissances

Data science product management

Stakeholder management

Cross-functional leadership

AI/ML product management

Product strategy

Formation

Bachelor’s degree in Business/Data Science/CS/Statistics/Economics/Engineering

Outils

SQL

Python

Snowflake

Spark

Description du poste

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 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.

Director, Product Management - Data Science

San Mateo, CA

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 a Director of Data Science Product Management to 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 adoption,monitoringand continuous improvement.The 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, 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, 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 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.

Qualifications

• Bachelor’s 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 modeling,productionization, 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 stores,MLOpstools, 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.

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. 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. In addition, this role is eligible 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. This role also may be eligible for a bonus package.

$273,000 — $409,600 USD

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 our Candidate Privacy Notice (where applicable) for 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.