About the Role
- DeepMind has a remarkable track record of scientific breakthroughs. Such extraordinary work is a direct result of the brilliant and diverse group of people we bring together. Our Operations team work together to maintain, optimise, and nurture our culture to create the best environment in the world for advancing AI research. A place where everyone’s expertise is recognised and where everyone is continually learning and supported to be the best leaders, managers, and collaborators they can be.
- 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.
- GDM’s People & Culture (P&C) team is on a mission to empower our people to do their best work. The Talent Management (\*\*not Talent Acquisition) team sits within the P&C organization and is responsible for helping leaders, managers and P&C understand our talent and make intentional decisions based on that understanding. Collaborating with other P&C teams, as well as business leaders and managers across the organisation, we execute on a critical component of P&C Strategy that develops the culture and environment that enables the advancement of AI research. Our team's approach is data-driven, integrated with business goals, agile in response to market changes, and empowering for our leaders. We leverage performance and talent data to drive strategic talent decisions, invest in critical areas, and enable a resilient and elite-performing GDM. We are looking for someone who can help our team turbo-charge their efforts by applying a process improvement lens, particularly focused on improving our data analysis capabilities. Our organization continues to grow quickly and we need your help in scaling our efforts!
Responsibilities
- Analyse and manipulate data to develop executive-ready insights, dashboards, and narratives to support leadership decision-making. Translate data into actionable business outcomes.
- Create templates, processes and frameworks that can be leveraged by the team in the future.
- Proactively identify opportunities and recommend solutions to optimise our existing process operations, with a focus on efficiency and impact, leveraging AI resources and other available technologies.
- Lead initiatives aimed at improving scalability, efficiency, and team outcomes.
- Work collaboratively across the broader People & Culture team, particularly the P&C Analytics team. Our work requires a close partnership with the Analytics team and you’ll be our liaison to them.
- Quickly gain an in-depth understanding of our Talent Operations so you can anticipate problems and identify solutions, using your judgement and discretion to determine and plan the next steps of your work.
- Support ad-hoc strategic projects and business deep dives as priorities evolve.
Requirements
- Education: Bachelor's degree or equivalent practical experience.
- Experience: 5+ years of experience in business operations, analytics, strategy, consulting, or a related role.
- Technical Proficiency: Advanced proficiency in Google Sheets, proficiency in SQL, with a track record of building automations or workflow scripts (e.g., Apps Script, VBA, or JavaScript-based automation tools) to bridge data gaps.
- Data Storytelling: Exceptional ability to translate complex findings into clear, actionable narratives for stakeholders.
- AI Fluency: Curiosity and ability to use AI tools practically and responsibly to improve analytical velocity and accuracy.
- People & Talent Focus: Experience with HR/People Analytics, including working with sensitive and confidential data.
- Bias for action: Ability to self-start and self-direct work in an unstructured, fast-paced, challenging environment.
Qualifications
- AI Fluency: Ability and curiosity to use AI tools practically and effectively in your work, with a recognition and awareness of AI’s responsible use, risks, and limitations.
- AI for Data: You are excited by the way AI could transform data roles and are interested in spending 20% of your time thinking about and building this to scale your impact.
- Python for Data Analysis: Proficiency in Python and common data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Matplotlib/Seaborn).
- Data Visualization/Dashboarding: Experience creating effective dashboards and visualizations using tools like Tableau, Looker, Google Data Studio, or similar.
- Analytics Engineering: Experience designing and implementing ELT workflows (using tools like dagster, dbt)
- Coaching/Mentoring: Experience mentoring others in analytical techniques or tools.
Benefits
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 identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.