Senior Director, Reporting & Analytics Engineering

The role

This leader will lead the Enterprise Reporting and Analytics Engineering organization of approximately 30 people. The role focuses on the last mile of the enterprise data supply chain, including semantic models, curated data products, and proactive, AI-enabled analytics.

What you will do

• Lead, coach, and develop an organization of approximately 30 people.
• Define a multi-year vision and roadmap for enterprise reporting and analytics engineering.
• Own the organization's budget, vendor relationships, and contractor or offshore capacity.
• Establish and sustain an engineering culture including peer review, automated testing, and CI/CD.
• Drive maturity of the last-mile architecture in partnership with Data Engineering.
• Define and enforce dimensional modeling standards and transformation frameworks.
• Own the enterprise metric layer.
• Manage cataloging, business glossary, data certification, and stewardship workflows.
• Drive analytics engagement by leveraging enterprise visualization and provisioning platforms.
• Partner with Data Science to productize models and enable generative AI and LLM access to enterprise data.

Required qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered.
• 15+ years of progressive experience in data, analytics, or business intelligence.
• 8+ years leading teams.
• 4+ years managing managers.
• Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise.
• Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design.
• 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.
• Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD.
• Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker.
• Demonstrated ability to participate in driving data governance program using platforms such as Atlan, Collibra, Alation, or Informatica.
• Proven track record of delivering jointly with Data Engineering and Product Management.
• Direct experience partnering with Data Science.

Nice to have

• Master's degree or MBA in a related field.
• Production experience delivering LLM-based analytics.
• Experience designing agentic workflows and orchestration.
• Hands-on experience with Atlan, Domo, and Tableau specifically.
• Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts.
• Experience deploying anomaly detection at scale.
• Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts.
• Experience operating in an Agile or product operating model at scale.
• Deep experience with the “Marty Kagan”-style academic approach to Product Management is a significant plus.
• Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models.

Before you apply

• Sony Interactive Entertainment conducts background checks at the offer stage for all new employees.

About the company

Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. It is a dynamic technology company and an entertainment leader.