$273,000 – $409,600
Listed on Bend Studio’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Sony Interactive Entertainment is hiring a Director to oversee data science as a product discipline across PlayStation, managing a portfolio of analytics and ML products that drive player value and business decisions. This role suits experienced product leaders who have shipped data products at scale and can balance the rigor of data science with commercial impact.
Our summary, not Bend Studio’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 15+ years of relevant experience
- 8+ years in digital or data product management, AI/ML product management, or analytics product management
- 6+ years of people management experience leading Product Managers or senior analytics leaders
- Experience leading cross-functional portfolios involving Data Science, ML Engineering, Analytics, Data Engineering, and business stakeholders
- Strong understanding of data science and ML workflows including experimentation, predictive modeling, forecasting, segmentation, recommender systems, productionization, and monitoring
- Experience with CLV/LTV, personalization, churn, propensity modeling, forecasting, audience targeting, marketing optimization, commerce, or digital engagement products
- Bachelor's degree in Business, Data Science, Computer Science, Statistics, Economics, Engineering, or related field
- Ability to translate ambiguous business needs into product strategies and measurable outcomes
- Executive communication skills to translate technical concepts into business impact
- Experience leading, mentoring, and developing high-performing product teams
Nice to have
- Experience in gaming, digital commerce, subscription, marketplace, streaming, or consumer technology
- Deep expertise in customer intelligence, player lifecycle analytics, personalization, experimentation, or growth optimization
- Experience defining success metrics and quality standards for data science products including adoption, reliability, latency, interpretability, fairness, and model drift
- Experience building product management capabilities, teams, or operating models from scratch
- Demonstrated ability to use AI-enabled tools, including generative or agentic AI, to improve product workflows and decision-making