Staff Data Science Product Manager in London

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.

About the Role We are seeking a Staff Product Manager, with a focus in Analytics, Experimentation, and CLV/LTV modelling, to lead the strategy, prioritization, and execution of AI/ML capabilities and products that drive business decision-making. This role operates at the intersection of business, product, data science, and engineering, and is responsible for leading high-impact problem spaces that span teams, while improving the effectiveness, consistency, and scalability of analytics product management practices. This includes technical ML solutions that help the business understand where player value is coming from and how it changes over time. The role is also responsible for creating the conditions for high-performing Data Science and ML teams to deliver quality, production-grade products that drive measurable business value.

Key Responsibilities:

• Analytics Product Strategy & Lifecycle Ownership: Lead discovery and definition of ambiguous, high-impact AI/ML problem spaces that require coordination across teams, including applications that improve understanding of player value and value drivers. Drive alignment across squads to ensure coordinated execution and avoid duplication of effort. Identify opportunities to scale solutions, reuse components, and standardize approaches across analytics, experimentation, forecasting, and value modelling use cases.
• Prioritization & Roadmap Management: Own prioritization across multiple squads, balancing business impact, feasibility, technical maturity, adoption potential, and resource constraints. Partner with Integrated Analytics Partners and senior Data Science and Product leaders to align work to business strategy.
• Experimentation & Decision Frameworks: Partner with Data Science leaders to ensure statistical rigor and methodological consistency across experimentation, modelling, forecasting, and player value analysis. Drive adoption of experimentation and value-based analytical techniques as core decision-making tools across business functions.
• Cross-Functional Leadership: Partner closely with other Product Management teams and cross-functional leaders to operate as a unified team to deliver cohesive strategies and stakeholder communication. Align Analytics strategy, prioritization, and execution through collaboration with the Integrated Analytics Partners, Data Science leadership, and Engineering leadership.
• Scaling & Adoption: Drive thinking around scalability, reuse, and long-term sustainability of analytics solutions, particularly where shared capabilities can improve understanding of player value. Define success criteria for analytics and ML products, including business impact, adoption, reliability, interpretability, and operational sustainability.
• Stakeholder Engagement: Engage with business stakeholders to understand needs, gather feedback, communicate progress, and clarify how analytics and ML outputs inform player value understanding.
• Standards & Best Practices: Define and promote best practices for analytics product management, including prioritization, experimentation, and lifecycle management. Mentor and support other Analytics Experimentation & Product Leads.

Qualifications and Education Requirements:

• Bachelor’s degree in Business, Data Science, Computer Science, or a related field.
• 12+ years of relevant experience, including 6+ years in digital product management.
• Proven experience leading complex, cross-functional initiatives involving data science and engineering teams.
• Strong understanding of data science workflows, including experimentation, modeling, forecasting, value analysis, and productionization.
• Demonstrated ability to operate in highly ambiguous environments and drive alignment across teams.
• Experience influencing prioritization and decision-making across multiple teams or domains.
• Strong communication and stakeholder management skills, including working with senior leaders.

Preferred Skills:

• Proven ability to evaluate tradeoffs in scaling AI/ML solutions, balancing model sophistication with reliability, performance, interpretability, and operational complexity in production environments.
• Experience defining quality standards and success metrics for analytics and ML products, including adoption, reliability, interpretability, and business impact.
• Familiarity with analytics and data tools such as SQL, Python, or similar.
• Ability to operate effectively in fast-paced environments and manage multiple initiatives simultaneously.

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees and will need to process personal information to support these checks.

Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender, race, 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.