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Talent Management Operations Partner (FTC - 12 Month Contract) - London

Google DeepMind

Talent Management Operations Partner (FTC - 12 Month Contract) - London

Google DeepMind

London, UK

·

On-site

·

Contract

·

5d ago

Snapshot

Deep Mind 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.

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, 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

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!

Key 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.

  • Success requires strong analytical skills, structured thinking, and the ability to balance strategic priorities with hands-on execution in a fast-paced environment.

About you

In order to set you up for success as a Talent Management Operations Partner at Google Deep Mind, we look for the following skills and experience:

  • 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.

At Google Deep Mind, 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.

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About Google DeepMind

Google DeepMind

DeepMind Technologies Limited, trading as Google DeepMind or simply DeepMind, is a British-American artificial intelligence research laboratory which serves as a subsidiary of Alphabet Inc.

1,001-5,000

Employees

London

Headquarters

Reviews

3.8

10 reviews

Work Life Balance

3.8

Compensation

4.2

Culture

3.5

Career

4.0

Management

2.8

68%

Recommend to a Friend

Pros

Smart and brilliant colleagues

Good compensation and benefits

Work flexibility and remote options

Cons

Poor management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and goals

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

60%

Experience

Positive 60%

Neutral 40%

Negative 0%

Interview Process

1

Application Review

2

Phone Screen/Online Assessment

3

Technical Interview

4

Team Matching Interview

5

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Research Experience

System Design