Director, Data Science - Product Management

Sony Interactive Entertainment; San Mateo (CA); On-site; USD 273,000 - 410,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) matching

Paid time off

Wellness program

Employee discounts

Bonus package

Job summary

Sony Interactive Entertainment seeks a Director of Data Science Product Management in San Mateo, CA to lead strategy, prioritization, and execution of data science initiatives across PlayStation. You will shape a portfolio of data products and drive measurable business outcomes through adoption and continuous improvement.

Leading a team of Data Science Product Managers, you will partner with analytics, engineering, and product teams to deliver high‑impact CLV, engagement, forecasting, and

Qualifications

• Bachelor's degree in Business, Data Science, Computer Science, Statistics, Economics, Engineering, or related field.
• 15+ years of relevant experience in digital product management, data product management, AI/ML product management, analytics product management, or related roles.
• 6+ years of people management experience, including leading Product Managers or 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, forecasting, modeling, monitoring.

Responsibilities

• Translate business priorities into structured problem statements, investment cases, product strategies, and measurable outcomes.
• Drive product strategy and lifecycle ownership for player value and decision intelligence capabilities, such as CLV, engagement and forecasting.
• Establish 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.
• 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.

Education

Bachelor's degree in Business, Data Science, Computer Science, Statistics, Economics, Engineering, or related field

15+ years of relevant experience in digital product management, data product management, AI/ML product management, analytics product management, or related roles

6+ years of people management experience, including 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, MLOps tools, model monitoring, APIs, and analytics platforms

Strong executive communication skills, including the ability to translate technical concepts into business impact

Experience leading, mentoring, and developing high-performing product teams

Tools

SQL

Python

Snowflake

Spark

ML Ops tools

Job description

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, Data Science - Product Management

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, we operate at massive scale 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.

The estimated base pay range for this role is listed below.

$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 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.