Senior Manager, Business Data & Analytics

Snapshot

The Core Analytics Team (CAT) is tasked with organising and modeling GDM’s data to guide operations and strategy (covering areas like research, compute, people, and product analytics).

CAT is part of our broader Technical Operations and Analytics (TOA) team. Technical Operations and Analytics’s mission is to accelerate GDM’s mission by building the systems, processes, and technology to support data-led decisions and deliver AI to the organization. We are responsible for delivering AI across GDM’s infrastructure to power operations at scale, ensuring we function as a fully 'AI First' organisation.

As we transition to an AI-first organization, we are seeking a visionary data leader to champion this high-impact team. You will evolve CAT, expanding its remit beyond traditional analytics & data science to create the data ecosystem for an AI age.

Your mission is twofold:

Artificial intelligence will be one humanity’s most transformative inventions. At Google Deep Mind, we are a pioneering AI lab with world-class interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

• Lead, mentor, and inspire a high-performing team of data scientists and analysts. Foster a culture of psychological safety, high agency, and continuous improvement
• Serve as a trusted advisor to GDM senior leadership. Proactively identify critical business questions and shape the team’s direction to meet those needs – acting as a first point of contact for the organisation’s most nebulous data challenges
• Manage performance and career growth, creating clear pathways for individuals to meet their personal and professional goals, while evolving & expanding skillsets to meet GDM’s organisational needs

• Own and deliver an “organisational knowledge graph” charter – positioning it as an integrated data platform that acts as the central, trusted source of truth for agentic systems to access internal enterprise knowledge
• Define and execute a technical roadmap to balance the needs of human-led data science work, machine accessibility, and access for a wide user base across GDM. Architect the schemas and metadata layers that allow AI agents to correctly interpret business logic, disambiguate context, and retrieve accurate information (e.g., investing in NL2
  
  SQL readiness and RAG-optimised pipelines)
• Champion a "Data as a Product" mindset, where your team's data assets are managed with a product lifecycle, including versioning, SLOs, and clear documentation
• Invest in appropriate data governance and access management controls; ensure both assets and underlying data are well-governed, discoverable, and trustworthy (leveraging existing Google tools and knowledge where appropriate)

• Own the team’s overall portfolio of work – balancing opportunities for short-term impact and longer-term investment in new capabilities, investing in the right areas of GDM
• Partner with the wider Technical Operations & Analytics (TO&A) group leadership to integrate data across relevant product surfaces and deliver key cross-functional initiatives
• Maintain and deepen trust with existing stakeholders (e.g. Executives, Strat Ops partners, Compute managers, People & Culture, etc) to help them answer critical questions and increase efficiency and effectiveness of their groups…