Compensation & Recognition Specialist

4 weeks ago

London, Greater London, United Kingdom DeepMind Technologies Limited Full time

At DeepMind Technologies Limited, we embrace a wide range of experiences, knowledge, backgrounds, and perspectives, leveraging these attributes to create significant impact. We are dedicated to equal employment opportunities, ensuring fairness regardless of sex, race, religion, ethnic origin, disability, age, marital status, sexual orientation, gender identity, or any other protected characteristic as per applicable law. If you require accommodations due to a disability or other needs, please inform us.

Overview

We seek driven individuals passionate about empowering exceptional talent to join our distinctive people-centric organization. Our team's mission is to nurture and optimize our outstanding workforce while fostering a values-driven, highly effective, and healthy culture where world-class research and creativity flourish, and contributing to our mission is the primary focus for all.

About Us

Artificial Intelligence stands as one of humanity's most transformative inventions. At DeepMind Technologies Limited, we comprise a diverse team of scientists, engineers, and machine learning specialists, collaborating to push the boundaries of artificial intelligence. Our technologies serve the public good and scientific advancement, partnering with others to tackle critical challenges while prioritizing safety and ethics.

Role Overview

As a member of the Reward & Recognition team within the Talent, Performance & Reward division, you will be responsible for evaluating, reimagining (when appropriate), and executing reward processes and initiatives. You will report to the EMEA Reward & Recognition Lead and work closely with colleagues in London and the US, as well as with the Talent Acquisition team and People & Culture Partners.

Key Responsibilities:

  • Support the administration of compensation programs aligned with our organizational philosophy while ensuring robust governance.
  • Provide guidance and support to the Talent Acquisition team and hiring managers during the offer negotiation phase.
  • Utilize compensation metrics, reports, and tools to inform compensation strategies and analyze outcomes.
  • Design and implement reward and recognition frameworks applicable across the organizational structure.
  • Effectively communicate with senior stakeholders and internal analytics teams to deliver insights that drive data-informed business decisions.
  • Assess market data to evaluate the competitiveness of total compensation offerings across all levels.
  • Lead compensation initiatives from conception to execution, including modeling, project planning, communication, and training in collaboration with the Reward & Recognition team.
  • Continuously assess the effectiveness of compensation programs, proposing innovative changes to enhance our total rewards strategy.

About You

To thrive as a Reward & Recognition Partner at DeepMind Technologies Limited, we seek candidates with the following qualifications:

  • Proven experience managing intricate reward programs and enhancing processes, preferably within a technology environment.
  • Ability to synthesize complex information from diverse sources to provide timely insights for decision-making, with strong communication skills.
  • Comfortable navigating ambiguity and adapting to changes, demonstrating a readiness to learn.
  • Exceptional attention to detail and a commitment to confidentiality in handling sensitive data.
  • Skilled in conducting research and testing hypotheses to inform business strategies, actively seeking feedback to prioritize tasks.
  • Proficient in using Google Sheets with strong analytical capabilities.
  • Collaborative approach to stakeholder management, regularly proposing process improvements.
  • Highly organized, adept at managing multiple projects and activities effectively.
  • Agile and flexible, eager to learn from colleagues and experiences.
  • Strong interpersonal skills with a natural ability to build trust and understanding across the organization.

Preferred Qualifications:

  • Experience in a technology company or similar environment facing unique talent challenges.
  • Enjoyment of a dynamic, fast-paced work environment with frequent changes.
  • Familiarity with SQL or other database tools for data extraction.
  • Knowledge of the competitive landscape, particularly in AI research or related sectors.

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