Senior Technical Program Manager ( Data Platforms & Operations

Why Play Station?

Play Station isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The Play Station family of products and services including Play Station®5, Play Station®4, Play Station®VR, Play Station®Plus, acclaimed Play Station software titles from Play Station Studios, and more.

Play Station also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The Play Station brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

The Senior Technical Program Manager for Data Platforms & Operations will drive the planning, coordination, and delivery of complex initiatives across our cloud-based data platforms and their operations.

In this role the successful candidate will work closely with engineering managers, SRE/operations teams, and data/AI engineering teams who own the data products and data services which rely on the efficient running and delivery of data platforms. Your role is to:

• Coordinate cross-team work so platform and operational changes land predictably and safely.
• Structure delivery (roadmaps, plans, dependencies, risks) for data platform programs.
• Improve operational performance by assisting engineering managers, ensuring metrics and runbooks are part of the delivery process.
• Provide transparency to leadership via clear, metric-led reporting on status, risk, and outcomes.

This is a senior individual contributor role suited to someone who is highly organised, data-driven, and comfortable working with technical stakeholders across a varied data ecosystem.

• Plan and run cross-platform programs for data platform and operational initiatives (e.g. major upgrades, reliability improvements, cost optimisation, new platform capabilities).
• Build and maintain integrated program plans (scope, milestones, dependencies, risks, decision points) across multiple engineering and operations teams.
• Facilitate regular delivery cadences (stand-ups, status reviews) with engineering managers and leads; ensure actions are owned and tracked to completion.
• Ensure that program objectives are clearly defined, measurable, and aligned with business outcomes, such as:
  • Improved platform availability and reliability.
  • Reduced incident frequency and MTTR targets.
  • Improved data freshness, latency, and throughput for key workloads.

• Partner with engineering managers, SREs, and operations teams to assist them in coordinating operational activities are delivered by data platform teams:
  • Change calendars, release planning, and operational readiness reviews.
  • Operational playbooks and runbook readiness for new features or platform changes.
  • Coordinated communication during planned maintenance and impactful changes.
• Align with service owners (engineering managers) on operational priorities and schedules, helping sequence work in a way that balances reliability, feature delivery, and cost.

• Work with engineering managers and service owners to ensure platform and operational KPIs, are part of the end delivery:
  • SLA/SLO/SLI for data platforms and pipelines (e.g. uptime, data freshness, query performance).
  • Operational metrics such as incident rate, MTTR, change success rate, and capacity utilisation.
• Ensure consistent measurement and reporting of delivery metrics across programs and operational areas:
  • Curate and maintain dashboards and status reports for leadership.
  • Highlight trends, risks, and trade‑offs in a clear and concise way.
• Use analytics to prioritise improvements, identify systemic issues, and quantify impact of program work.

• Facilitate coordination across:
  • Data platform engineering (cloud infrastructure, Kubernetes, data platform services).
  • Data engineering and ETL/ELT teams.
  • AI/ML engineering teams consuming data platform capabilities.
  • Operations, SRE, and service…