About the Role
- DeepMind boasts a remarkable record of scientific breakthroughs, directly attributable to its brilliant and diverse talent. The Operations team is dedicated to maintaining, optimizing, and nurturing this unique culture, striving to create the best environment globally for advancing AI research. This involves ensuring everyone's expertise is recognized, and that individuals are continually learning and supported to excel as leaders, managers, and collaborators.
- Google DeepMind believes Artificial Intelligence could be one of humanity’s most useful inventions. Their team of scientists, engineers, and machine learning experts work collaboratively to advance the state of the art in AI, applying their technologies for widespread public benefit and scientific discovery, while prioritizing safety and ethics.
- GDM’s People & Culture (P&C) team is committed to empowering its people to perform their best work. The Talent Management team, distinct from Talent Acquisition, operates within P&C and is responsible for assisting leaders, managers, and P&C in understanding talent dynamics and making intentional, data-driven decisions. By collaborating across other P&C teams and business leaders, they execute a critical component of the P&C Strategy that develops the culture and environment necessary for advancing AI research. The team's approach is data-driven, integrated with business goals, agile in response to market changes, and empowering for leaders. They leverage performance and talent data to drive strategic talent decisions, invest in critical areas, and foster a resilient, elite-performing GDM. The role seeks an individual to significantly enhance the team's efforts by applying a process improvement lens, specifically focusing on improving data analysis capabilities to scale operations within a rapidly growing organization.
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
- Domain Interest/Experience: Experience with or a strong interest in research (bibliometrics, innovation pathways/lifecycles, and learning more about key areas/topics in AI research) or People & Culture (HR, recruiting, performance, or employee engagement).
- AI Fluency: Curiosity and ability to use AI tools practically and responsibly to improve analytical velocity and accuracy.
- 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
Not explicitly mentioned.