DeepMind

Talent & Performance Lead (12 Month Fixed Term Contract)

London, England, United Kingdom

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Human ResourcesIndustries

Requirements

Candidates should possess a strong understanding of talent management principles and practices, with a proven ability to design and implement talent strategies aligned with business objectives. Experience in building and scaling talent initiatives within a global environment is highly desirable, along with expertise in executive talent management and performance management frameworks. A demonstrated ability to lead and empower teams, coupled with a strong awareness of the talent landscape in EMEA and the Americas, is also required.

Responsibilities

The Talent & Performance Lead will build upon and implement talent management strategies to boost talent engagement, career progression, and performance, including evaluation and promotion. They will design and enhance executive talent management and performance management frameworks, fostering continuous feedback and high performance. The role involves collaborating closely with the global P&C team, Google counterparts, and senior leaders to assess talent needs and develop innovative talent solutions, and serving as a trusted thought partner to guide strategic decisions. Additionally, the Lead will manage and empower a team of 3-4, offering expert advice on talent management strategies, and leveraging data and analytics to assess the impact of talent initiatives.

Skills

Talent Management
Talent Strategy
Executive Talent Management
Performance Management
Team Leadership
Strategic Decision-Making
Data Analysis
Talent Engagement
Career Progression
Feedback
Performance Evaluation
Promotion

DeepMind

Develops artificial general intelligence systems

About DeepMind

This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.

Key Metrics

London, United KingdomHeadquarters
2010Year Founded
$4.9MTotal Funding
ACQUISITIONCompany Stage
AI & Machine Learning, BiotechnologyIndustries
1,001-5,000Employees

Benefits

Performance Bonus

Risks

Emerging AI models may challenge DeepMind's current strategies.
Backlash against AI models like Gemini poses reputational risks.
Labeling AI-generated content could increase operational complexity for DeepMind.

Differentiation

DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
DeepMind's AlphaFold model advances protein folding research significantly.
GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.

Upsides

AI-driven drug discovery is set to grow significantly in 2024.
AlphaCode 2 showcases AI's potential in competitive programming.
DeepMind's AI tools are transforming music creation and meteorology.

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