Senior Director of Reporting & Analytics Engineering

Join our team as a Senior Director of Reporting & Analytics Engineering. In this role, you will lead our Enterprise Reporting and Analytics Engineering organization, focusing on transforming engineered data into actionable decisions. You will work closely with various teams, including Data Engineering, Product Management, Data Science, and Analytics Operations. Your responsibilities will include defining a multi-year vision and roadmap, managing the organization's budget, establishing an engineering culture, and driving analytics engagement. The ideal candidate will have extensive experience in data, analytics, or business intelligence, with a strong foundation in SQL, dimensional modeling, and cloud data warehouses.

Lead and develop a team of analytics engineers, report developers, and visualization specialists to enhance the organization's reporting and analytics capabilities.

About PlayStation

Establish and sustain an engineering culture within an analytics function, driving maturity of the last-mile architecture in partnership with Data Engineering.

The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways

Responsibilities

• Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes that can be measured.
• Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered
• Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities
• Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD
• Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise

Experience managing budget, vendor contracts, and platform licensing

• 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers
• Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt
• Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting
• Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization
• Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica
• Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability
• Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption