Director, Brand and Growth Marketing Analytics

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.

The Role

The Director of Brand and Growth Marketing Analytics is a senior leadership role responsible for driving data-informed decision-making across all marketing channels. This role leads the strategy, development, and execution of analytics frameworks to optimize marketing efficiency, maximize ROI, and accelerate growth for Product, Hardware, Store and Services lines of business.

What you’ll be doing:

Strategic Leadership

• Define and lead the marketing analytics vision, roadmap, and long-term strategy for the Product, Hardware, Store and Services lines of business.
• Establish measurement frameworks to evaluate owned and earned channel performance and customer acquisition effectiveness.
• Partner with Marketing, Product, Finance, and Data teams to align analytics initiatives with business goals.

Analytics & Insights

• Translate complex data into clear, actionable insights for senior stakeholders across a broad range of analytic modalities.
• Oversee the implementation of analytics models, including attribution, incrementality testing, and forecasting in partnership with engineering.
• Identify growth opportunities and performance optimization strategies across owned and earned media channels.

Data Infrastructure & Tools

• Own the strategy for the evolution of marketing data infrastructure that ensures scalability, accuracy, and accessibility.
• Define requirements and prioritization for Data Engineering teams to build and maintain pipelines, dashboards, and reporting systems.
• Evaluate and implement analytics tools and platforms to enhance measurement capabilities.

Performance Optimization

• Lead ongoing performance analysis across channels such as SEO, organic social media engagement, CRM, and on-console messaging.
• Design and implement testing strategies (A/B, geo-lift, incrementality) to improve campaign outcomes.
• Drive budget allocation and owned media strategy decisions based on data-driven insights.

Team Leadership

• Build, mentor, and lead a high-performing team of analysts and strong partnerships with Marketing Sciences and Analytics Engineering & Reporting functions.
• Foster a culture of accountability, continuous improvement and analytic rigor.
• Establish best practices and standards for analytics methodologies and reporting.

Stakeholder Communication

• Present insights and recommendations to executive leadership.
• Act as a trusted advisor to marketing leadership on performance and investment decisions.
• Ensure transparency and consistency in performance reporting across the organization.

What we are looking for:

• 10+ years of experience in marketing analytics or related fields.
• Proven leadership experience managing high-performing analytics teams.
• Deep expertise in digital marketing channels and measurement methodologies, especially earned and owned media measurement.
• Strong analytical and problem-solving skills.
• Experience with attribution models, experimentation design, and statistical analysis.

Preferred

• Proficiency in SQL, Python, or similar tools.
• Experience in a high-growth or technology-driven environment.
• Familiarity with marketing platforms and analytics tools (e.g., GA4, Adobe Analytics, Looker).
• Advanced degree in a quantitative field (e.g., Statistics, Economics, Computer Science).

Key Competencies

• Strategic thinking and business acumen
• Leadership and team development
• Data storytelling and communication
• Technical expertise in analytics and data systems
• Results-oriented mindset

Success Metrics

• Improvement in marketing ROI and efficiency
• Accuracy and adoption of measurement frameworks
• Growth in customer acquisition and lifetime value
• Speed and quality of insights delivered to stakeholders

Reporting Structure

• Reports to: Senior Director, Marketing Analytics
• Location: London, UK (Hybrid)

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.

- 10+ years of experience in marketing analytics or related fields - Proven leadership experience managing high-performing analytics teams - Deep expertise in digital marketing channels and measurement methodologies, especially earned and owned media - Strong analytical and problem-solving skills - Experience with attribution models, experimentation design, and statistical analysis