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- Tasks: Lead a high-performing team to transform data into strategic insights and AI solutions.
- Company: Join Google DeepMind, a pioneering AI lab focused on solving global challenges.
- Benefits: Competitive salary, diverse learning opportunities, and a culture of innovation.
- Why this job: Be at the forefront of AI development and make a real impact on the future.
- Qualifications: Extensive experience in data analytics and leadership in technical transformations.
- Other info: Embrace a diverse environment with excellent career growth potential.
The predicted salary is between 72000 - 108000 £ per year.
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.
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:
- Strategic Partner: Continue to lead the team as the indispensable source of truth for GDM's leadership, using data to guide critical organisational decisions.
- AI Data Architect: Lead the strategic evolution of the team's output, transitioning from traditional 'human-centric' analytics to a hybrid model that integrates "machine-centric" knowledge.
Key Responsibilities:
- Team Leadership & Strategic Steering: 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.
- Data Strategy: 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.
- Technical Execution & Delivery: Own the team's overall portfolio of work – balancing opportunities for short-term impact and longer-term investment in new capabilities.
- Community Evangelism: Lead and revitalise the GDM "Analytics Guild", fostering a wider community for data scientists and analysts across GDM and Google to share best practices, new tools, and critical learnings.
About You:
- Experience: Extensive technical background (e.g. Data Engineering, Analytics, or Data Science), including significant experience leading high-performing teams through technical transformations.
- Strategic Acumen: Proven track record of using data to influence executive-level strategy.
- Technical Vision: You understand the modern data & AI stack.
- The "Translator": You excel at bridging the gap, using your communication skills to align stakeholders from varied backgrounds around a common technical and product vision.
- Governance & Empathy: Experience establishing governance in complex environments.
- AI Fluency: Ability and curiosity to use AI tools practically and effectively in your work.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender.
Senior Manager, Business Data & Analytics in London employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Business Data & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your experience aligns with their mission, especially around AI and data-driven decisions.
✨Tip Number 3
Showcase your skills through projects or case studies. Bring examples of how you've used data to drive decisions or improve processes. This will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Manager, Business Data & Analytics in London
Some tips for your application 🫡
Show Your Data Passion: When you're writing your application, let your enthusiasm for data and analytics shine through! We want to see how you've used data to drive decisions in the past and how you envision doing that at GDM.
Tailor Your Experience: Make sure to highlight your relevant experience in leading teams and driving strategic initiatives. We’re looking for someone who can bridge the gap between technical and non-technical stakeholders, so don’t forget to showcase those skills!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to see your achievements and skills. Remember, we appreciate a well-structured application that gets straight to the heart of your qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your Data Inside Out
Before the interview, dive deep into the data landscape of the company. Understand their current analytics processes and how they leverage AI. Be ready to discuss specific examples of how you've used data to influence strategic decisions in your previous roles.
✨Showcase Your Leadership Style
As a Senior Manager, you'll need to inspire and lead a team. Prepare to share your leadership philosophy and provide examples of how you've fostered a culture of psychological safety and continuous improvement in your past teams.
✨Bridge the Technical Gap
Be prepared to explain complex technical concepts in simple terms. Practice articulating how you've successfully communicated between technical and non-technical stakeholders, ensuring everyone is aligned on the data strategy.
✨Emphasise Your Vision for AI Integration
Since the role focuses on transitioning to an AI-first organisation, come equipped with ideas on how to evolve traditional analytics into machine-centric models. Discuss your experience with RAG pipelines or knowledge graphs and how you envision implementing these in the new role.
