Technical Program Manager, Data Science Enablement

Technical Program Manager, Data Science Enablement

United Kingdom, London

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 Play Station 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 Play Station brand, a name synonymous with entertainment excellence and creativity.

Role overview:

The Direct to Consumer (D2C) Data Science organisation comprises Data Science, Data Engineering and ML Engineering practices. D2C Data Science helps Play Station grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player‑facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production‑quality measurement into better experiences.

As a Technical Program Manager (TPM) within Data Science Enablement you will support the planning, coordination, and execution of data science and AI initiatives that help the Decision Science organisation deliver measurable data science, machine learning and AI impacts more effectively.

This is a hands‑on individual‑contributor role focused on program execution, technical coordination and delivery discipline. In addition, this role is expected to bring strong practical capability in data analysis and visualisation.

You will work closely with Data Scientists, ML Engineers, Data Engineers, Enablement Specialists and Business stakeholders to ensure that initiatives are well‑scoped, dependencies are understood and delivery progresses smoothly from intake through launch to ongoing measurement and optimisation. Partnering with the D2C Data Solutions team, the Technical Program Manager will own the development of operational dashboards, analytical views and AI Agent context that provide visibility into initiatives and experimentation outcomes.

What you’ll be doing:

• Support planning & execution of data science and AI initiatives, ensuring timelines, milestones and dependencies are clearly defined and tracked.
• Maintain program plans, delivery artefacts and status reporting to support transparency and predictable execution.
• Coordinate across Business, Product, Data Science and Engineering teams to help unblock issues and keep initiatives moving forward.
• Track risks, issues and decisions, escalating appropriately and proposing mitigation options.
• Use data, create dashboards and leverage AI Agents to monitor delivery progress, operational health, adoption and impact of initiatives.
• Perform ad‑hoc and recurring data analysis to support prioritisation, in‑life monitoring and performance reviews.

• Partner with technical teams to understand solution scope, technical dependencies and constraints.
• Help translate high‑level initiative goals into actionable work streams and execution plans.
• Support alignment on technical readiness activities such as data availability, tooling access, environment set‑up and process prerequisites.

• Support planning rituals and operating cadences (e.g. intake, prioritisation, planning, reviews).
• Contribute to development of artefacts that support solution rollout, adoption and readiness.
• Build, maintain and iterate on operational and performance dashboards, primarily using Domo.
• Contribute to new ways of consuming data such as AI Agent interfaces by building domain expertise to enhance agent context and coordinating the availability of new data sources.
• Partner with stakeholders to define metrics, ensure data quality and establish trusted reporting views.
• Translate ambiguous questions into clear metrics and visualisations that support decision‑making.

• Act as…