Senior Technical Program Manager, PlayStation

• The ideal candidate thrives in ambiguous environments, excels at systems thinking, and has a strong background in software engineering or technical program management
• 7+ years of experience in technical program management, engineering management, or a related technical field
• Strong experience managing programs in data engineering, data platforms, distributed systems, or analytics infrastructure
• Bachelors or master's in computer science, engineering, or science
• Experience in software development, data engineering, or business intelligence fields is a bonus
• Solid understanding of modern data stacks:
• Data lakes/warehouses (e.g., Snowflake, Delta Lake)
• Batch/stream processing frameworks (Spark, Flink, Kafka, Kinesis)
• Orchestration tools (Airflow, Workflow, Kubeflow)
• Cloud platforms (AWS ,Azure)
• Data Processing Platforms (Databricks, Ab Initio)
• Proven success in delivering multi-team, multi-quarter technical programs
• Strong communication skills with the ability to influence engineering and executive-level audiences
• Experience with Agile methodologies and engineering-driven delivery environments
• Ability to break down complex problems into actionable plans
• Empathy for the customer and understanding of customer service approaches
• Knowledge of Data Warehousing fundamentals
• Curiosity about gaming, digital entertainment, or consumer electronics is a plus

Desirable

• We are seeking a Senior Technical Program Manager to lead complex, cross-functional technical initiatives from concept through delivery
• This role is critical in driving alignment across engineering, product, design, operations, and leadership teams to ensure predictable execution and scalable, high-quality solutions
• Lead end-to-end program management for large, multi-quarter data engineering initiatives
• Develop program charters, execution plans, timelines, OKRs, and success metrics
• Drive cross-functional alignment across engineering, product, analytics, cloud infrastructure, and security
• Proactively identify dependencies, risks, and mitigation strategies
• Partner closely with Data Engineering leads to define architectural direction and technical roadmaps involving batch/stream processing, orchestration, metadata management, and data quality frameworks
• Understand system architecture, APIs, distributed compute technologies (e.g., Spark, Flink, Databricks), and cloud services (AWS/GCP/Azure)
• Provide technical clarity to stakeholders; translate between business, analytics, and engineering requirements
• Ensure scalable, secure, and reliable data platform deliveries following best practices
• Implement and evolve program delivery processes using Agile, Kanban, and hybrid models suitable for data infrastructure
• Create visibility and reporting across engineering and business teams using dashboards, executive updates, and program reviews
• Drive continuous improvement for system reliability, data quality, cost optimization, and operational excellence
• Lead incident response coordination for major platform issues and ensure root cause analysis and corrective actions
• Work with business, product, and analytics partners to translate ambiguous requirements into executable engineering plans
• Communicate program health, milestones, and risks to executives and cross-functional leadership
• Manage vendor relationships and contracts when working with cloud, data, or ETL platform providers