People Operations Partner - 12 month FTC

Posted 14 Days Ago
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London, Greater London, England
7+ Years Experience
Artificial Intelligence
The Role
Seeking an experienced People Operations Partner for a 12-month fixed term period at Google DeepMind. Responsible for driving operational excellence, process improvement, automation, and supporting cross-functional projects. Provides technical expertise, mentors team members, and advises on people analytics. Develops a people systems strategy and supports critical projects.
Summary Generated by Built In

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.

About us

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.

The role

We are seeking an experienced People Operations Partner to join us for a 12 month fixed term period. Working in close partnership with stakeholders across People & Culture (P&C), Technical Operations & Analytics (TOA), and Google to enable global people operations effectiveness across GDM’s people systems, data and tech. The role reports into the Head of People Operations.

Key responsibilities

  • Drive operational excellence across the P&C ecosystem by providing technical expertise and thought leadership with a specific focus on people data, systems, and tech.
  • Identify opportunities for process improvement and automation, leveraging AI within P&C to enhance operational effectiveness. 
  • Support the delivery of cross-functional projects with meaningful thought-partnering, providing direction to teams, and developing the capabilities of others.
  • Coach and mentor P&C team members, fostering a culture of continuous learning and development.
  • Act as a trusted advisor and internal consultant on people analytics, providing strategic guidance and recommendations to P&C stakeholders and collaborating with CAT to ensure the effective implementation of the analytics roadmap. 
  • Responsible for People Ops data spoke (including relevant access approvals).
  • Responsible for developing a holistic view of GDM’s people systems and formulating a people systems strategy that drives long-term improvements.
  • Sought out to advise senior leaders with choices related to technical expertise.
  • Support the end-to-end delivery of critical discipline-specific complex projects.

About you

In order to set you up for success as a People Operations Partner at Google DeepMind, we look for the following skills and experience:

  • Experience working with a variety of different people systems and experience of implementing a new people system.
  • You are able to translate the technical for a non-technical audience.
  • You possess a process and systems mindset and are experienced at process design.
  • You can run with a brief and are comfortable dealing with ambiguity. When something you are working on changes, you adapt comfortably with a readiness to learn.
  • You are collaborative in your approach to stakeholder management and adept at influencing stakeholders at varying levels within the org. You regularly form project proposals, including improvements to processes or ways of working.
  • You are highly organised with experience of managing your own workload across an array of activity and projects.
  • Agile and flexible, you are looking to learn from others at every opportunity.
  • Enjoy a fast paced environment with frequent change.
  • You have experience partnering with other teams and have good communication skills, with a natural ability to build relationships across an organisation, instilling trust and creating understanding.

In addition, the following would be an advantage: 

  • Experience using Workday and / or Greenhouse people systems. 
  • Experience working with external account managers and influencing technical roadmaps

Application deadline: 12pm GMT Friday 20th September 2024 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

The Company
Mountain View, CA
1,218 Employees
On-site Workplace
Year Founded: 2010

What We Do

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.

Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).

Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.

We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

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