This role sits in the Product & Program Management (PPM) team in the wider Tech Ops and Analytics (TOA) team in GDM. The mission of TOA is to accelerate GDM's mission by building systems, processes & technology to support data-led decisions and to power GDM operations at scale.  We are seeking a proactive and skilled Program Manager to join our dynamic PPM team, initially focused on open sourcing and publication, collectively known as the externalisation domain. 

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

In this role you will be dedicated to managing the end-to-end workflows and tools for Publications and Open Sourcing, collectively known as "externalisation." Our mission is to deliver consistently excellent operational services and drive continuous improvement for all users across externalisation touchpoints.  You will design, build, and operate systems and processes underpinning the internal platforms and productivity tools that empower Google DeepMind employees across various functions, initially focused on externalisation. You will leverage your program management expertise in scoping, planning, and delivering programs independently and successfully, managing delivery risks and changing circumstances. You will collaborate closely with our engineering, UX, data-science, and partners within TOA and across GDM. 

Key responsibilities

Program management: Successfully scope, plan, and deliver programs independently. Optimize governance and decision-making structures to enable delivery while contributing to program outcomes, goals, and success metrics. Proactively identify deliverables and dependencies. Manage delivery risks and changing circumstances, implementing solutions to address them.

Systems design: Proactively identify and resolve workflow breakdowns and anticipate and respond dynamically to change. Define detailed problems, assess their business impact (ROI), specify the requirements needed, and then lead cross-functional teams in building and roll-out new systems and processes to address those problems. 

Business operations: Oversee and execute essential Business As Usual (BAU) tasks to guarantee the smooth and efficient functioning of our publication and open-sourcing processes. Set an example by implementing best practices and leverage this knowledge to guide system design.

Business analysis and insights: Contribute to the outcomes and success metrics by collecting, analyzing, and reporting on metrics relevant to the TOA’s product ecosystems. Facilitate decision-making from stakeholders, articulating business and technical tradeoffs.

Decision-making and communication: Identify and effectively manage stakeholders, proactively help define and monitor clear roles and responsibilities. Partner with stakeholders to define and align prioritized objectives and key decisions throughout the program lifecycle. Manage expectations through regular progress updates, and support and implement changes as needed.

Domain expertise: Interact with technical and business stakeholders, and end users to gain domain-specific insights to clarify, isolate, and triage challenges affecting our operations, based on business analysis. Use this expertise to optimize and accelerate program delivery.

In order to set you up for success as a Program Manager at DeepMind, we look for the following skills and experience:

• Bachelor's degree or equivalent practical experience
• 5 years of experience designing and implementing systems, gathering and documenting business requirements, and translating them into technical specifications
• Experience in building integrated systems through the entire life-cycle (analyze, design, build, test, implement and support)
• Strong analytical, problem-solving, and critical thinking skills
• Ability to deliver successfully within pressing timelines
• Ability to engage and collaborate engineering teams in a way that leads to aligned decision making
• Excellent communication, collaboration, and influencing skills, with the ability to build strong relationships with internal stakeholders.
• Passion for AI and their real world applications, including using AI tools to maximise impact as appropriate
• Demonstrated ability to thrive in ambiguous environments and adapt to rapidly changing landscapes

In addition, the following would be an advantage: 

• Deep understanding of master data management principles and experience collaborating with cross-functional engineering teams.
• Familiarity with Google processes and/or teams
• Track record of building positive relationships with stakeholders and influencing strong personalities within a complex business environment

Application deadline: 15th August 2025, 12pm GMT

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