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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Product Management- Data Science - **Company:** Sony Interactive Entertainment - **Location:** San Mateo, CA, United States - **Salary:** $273,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, Information Engineering, Decision-Making Software, Monitoring of Systems, Python (Programming Language), Machine Learning, Recommender Systems, SQL Databases, Data Streaming, Value Engineering, Feature Store, Snowflake, Apache Spark, Model Validation, Agentic-AI, Information Technology, Low Latency, Drift Detection, Marketplace - **Published:** October 15, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88139900/1 ## About the Role * 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. ## Description 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 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., * 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.