Reward & Recognition (Compensation) Partner

DeepMind

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profile Job Location:

London - UK

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Snapshot

We are looking for ambitious people with a passion for cultivating world-class talent and a values-driven culture to join our unique people-first business. The Reward (Compensation) & Recognition Partner role sits within the Talent Performance & Reward team. This team is focused on cultivating and optimizing our exceptional talent and building a values-driven highly effective and healthy organization where world-class research and creativity thrive. We are a team of data experts who transform complex insights into compelling world-class narratives on pay & people.

You will have the opportunity to review rethink and deliver critical reward/compensation processes and programs and operate our core Reward (Compensation) heartbeat activities directly contributing to our mission success by ensuring we attract retain and motivate the best talent in the world.

About Us

Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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

Your primary responsibility will be to review rethink (where it makes sense) deliver Reward processes and programs and provide strategic reward advice to our leaders all grounded in rigorous data-driven analysis and insights.

You will be managed by the EMEA Reward & Recognition Lead and collaborate closely with the rest of the team in London and the US alongside the Talent Acquisition team and People & Culture Partners on a daily basis. The unique opportunity in this role lies in innovating and continuously evaluating the efficiency of compensation programs in a fast-paced environment with unique talent challenges.

Key responsibilities:

  1. Input and enhance data dashboards & reporting to track key compensation metrics providing actionable insights for strategic decision-making
  2. Develop and implement Reward (Compensation) and recognition frameworks for the full organizational structure at Google DeepMind.
  3. Communicate effectively with senior partners and internal data & analytics teams to provide insights enabling data-led business decisions.
  4. Lead deep analytical reviews of internal and external market data to enhance our compelling data-backed compensation strategy that ensures competitive total rewards across the entire business with particular focus on dynamic and high-demand segments such as the AI talent market
  5. Continuously evaluate the efficiency of compensation programs & processes innovating and recommending changes to improve the effectiveness of our investment in total rewards.
  6. Provide sound compensation advice based on unique business challenges and educate key stakeholders in our Reward (Compensation) philosophy

About You

In order to set you up for success as a Reward & Recognition Partner at Google DeepMind we look for the following skills and experience:

Requirements:

  1. Experience managing complex Reward programs and creating and improving processes.
  2. Ability to assimilate ambiguous information from a wide variety of sources to provide meaningful and timely insights to inform decisions and you are comfortable communicating these findings.
  3. Expertise in leveraging data analysis and reporting tools to extract and present complex data-driven insights.
  4. Exceptional attention to detail and proven experience of handling sensitive data with confidentiality and care.
  5. Proficient using Google Sheets and experience using AI for process improvement with strong analytical skills.
  6. Experience partnering with other teams and good communication skills with a natural ability to build relationships across an organization instilling trust and creating understanding.
  7. Highly organized with experience of managing your own workload across an array of activity and projects.

In addition the following would be an advantage:

  1. Having worked in a tech company or company with similar talent challenges (such as unique skills competition for talent).
  2. Enjoy a fast-paced environment with frequent change.
  3. Experience using SQL and/or other databases to pull data.

Application deadline:

6pm BST Friday 10th October 2025

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.

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.

SnapshotWe are looking for ambitious people with a passion for cultivating world-class talent and a values-driven culture to join our unique people-first business. The Reward (Compensation) & Recognition Partner role sits within the Talent Performance & Reward team. This team is focused on cultivati...
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Key Skills

  • Internship
  • Data Warehousing
  • Adobe Flash
  • Database Administration
  • Logistics

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Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.

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