At a Glance
- Tasks: Lead AI/ML product strategy and drive impactful analytics solutions for player value understanding.
- Company: Join Sony Interactive Entertainment, the powerhouse behind PlayStation and a leader in innovation.
- Benefits: Enjoy competitive pay, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a diverse team committed to excellence and creativity in entertainment.
- Why this job: Make a real impact in gaming by shaping analytics that enhance player experiences.
- Qualifications: 12+ years in product management with strong data science and cross-functional leadership skills.
The predicted salary is between 81000 - 99000 £ per year.
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.
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.
- Prioritization Roadmap Management: Own prioritization across multiple squads, balancing business impact, feasibility, technical maturity, adoption potential, and resource constraints.
- Experimentation Decision Frameworks: Partner with Data Science leaders to ensure statistical rigor and methodological consistency across experimentation, modelling, forecasting, and player value analysis.
- 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.
- Scaling Adoption: Drive thinking around scalability, reuse, and long-term sustainability of analytics solutions, particularly where shared capabilities can improve understanding of player value.
- 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.
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.
- Experience in Agile product management methodologies and working with cross-functional squads.
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.
- Familiarity with analytics and data tools such as SQL, Python, or similar.
- Experience with experimentation and measurement frameworks (A/B testing, causal inference, incrementality) or related analytical approaches.
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. We strive to create an inclusive environment, empower employees and embrace diversity.
Data Science Product Manager employer: PlayStation Global
PlayStation Global is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about the entertainment and gaming industry. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to collaborate with talented teams on impactful projects. Located in a vibrant environment, PlayStation offers competitive benefits and a commitment to work-life balance, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Product Manager
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like PlayStation Global!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science Product Manager at PlayStation Global.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like PlayStation Global.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Product Manager at PlayStation Global, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science Product Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at PlayStation Global, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PlayStation Global. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at PlayStation Global
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PlayStation Global!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
