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People Experience & Delivery Partner (L4) -12 Month FTC - US, MTV

Google DeepMind

People Experience & Delivery Partner (L4) -12 Month FTC - US, MTV

Google DeepMind

Mountain View, California, US

·

On-site

·

Full-time

·

2w ago

Required Skills

Machine Learning

Snapshot

The People & Culture (P&C) Experience & Delivery Partner team provides responsive day to day P&C support and generalist advice, operating as trusted advisors for Google Deep Mind’s (GDM) Leaders and Managers. Working in close partnership with GDM P&C Partners, they build leadership and manager capabilities, deliver operational excellence, and gather and analyse employee experience insights to support the P&C needs of the organisation and drive high performance across GDM. Our team collaborates closely with other stakeholders across the GDM, Google, and Alphabet People & Culture teams, including GDM P&C Partners, to deliver a world-class employee experience. We support the learning and development of each member of our team and provide both training and practical experience to support the cultivation of generalist expertise. This is an exciting and varied generalist role.

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

This role is embedded in our People Operations team, which sits within the wider People and Culture (P&C) team, and reports to a P&C Experience & Delivery Lead based in either London, UK or Mountain View, US. The role is location-aligned first and Unit-aligned second, working in close partnership with P&C Partners within specific locations and Units.

Dynamic Coaching & Advisory

  • Provide dynamic and responsive coaching and advice for Leaders and Managers on policies, processes, and best practices related to key P&C topics including performance management, development, employee lifecycle processes, policy exceptions.

  • Provide advice and guidance to Leaders and Managers dealing with specific challenges within their teams e.g. a retention or wellbeing issue, or interpersonal team conflict.

  • Contribute to the development and delivery of scalable solutions to build Manager capability.

  • The trusted advisor for people policies, practices, and legislation in a specific location, supporting a wider range of complex challenges while mitigating risks.

  • Provide coaching and mentorship to more junior team members on complex issues e.g. providing guidance on difficult conversations, performance improvement plans.

  • In partnership with P&C Partners and relevant P&C Centres of Excellence (Co Es), support the scoping, design, and delivery of training programs to build P&C, Leader and Manager capabilities on relevant topics, specialising in areas where location-specific nuances are critical (e.g. employment law, cultural sensitivity).

  • Identify and make recommendations about how to address systemic issues affecting wellbeing and performance within specific locations e.g. conducting org assessments, analysing trends, and recommending initiatives.

Operational Excellence

  • Execute and deliver P&C initiatives, projects and cyclical processes, advising and collaborating with cross-functional teams.

  • Partner with P&C Partners to deliver Unit specific organisational efforts including reorgs, large scale performance management efforts and strategic initiatives that align with a Unit’s P&C Strategy.

  • Independently manage employee lifecycle process e.g.

Exits and Flexible working:

  • Identify the need for, and take responsibility for driving, process improvement initiatives, such as streamlining query management, improving processes and conducting root-cause-analysis on and resolving recurring issues.

  • The go-to-person within the PXD team for delivery of a cyclical process, overseeing delivery to a high standard, and ensuring that process changes are well understood.

  • Oversee delivery of process improvements, ensuring alignment with regional employment laws and cultural norms. This could involve collaborating with other teams cross-functionally to streamline workflows and improve the overall employee experience.

  • Advise and guide others through ways of working, tools, or process improvements.

Employee Experience Insights

  • Conduct analysis on relevant data, share themes and insights from analysis, and use the data to make recommendations and inform decisions.

  • Conduct in-depth analysis of employee data, including engagement surveys, exit interviews, and performance reviews, to identify location-specific trends and develop targeted initiatives in partnership with Co Es and P&C Partners.

  • Serve as a subject matter expert on employee experience within the relevant region, providing insights and recommendations to P&C colleagues

About You

In order to set you up for success as a People Experience & Delivery Partner at Google Deep Mind, we look for the following skills and experience:

  • Subject matter expertise: You proactively maintain up-to-date knowledge of the latest employment law, P&C policies, trends, and best practices. You share your insights with others in your team and across P&C.

  • Subject matter expertise: You are quick to develop a solid understanding of different business contexts and challenges, enabling smooth transitions into new areas.

  • Communication & interpersonal skills: You influence stakeholders to address complex problems, and effectively communicate complex information to diverse audiences.

  • Critical thinking & problem-solving: You apply analytical and problem-solving skills to complex organizational challenges. You conduct thorough research, gather and interpret data, identify root causes, and develop innovative and effective solutions.

In addition, the following would be an advantage:

  • Experience in working with global teams and navigating cultural differences.

  • Experience in designing and delivering training programs, and process design.

  • Experience in using data to drive HR decisions.

  • Knowledge of HR trends and best practices.

  • A degree or professional certification in Human Resources Management or a related field.

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.

Application Deadline: 15th Feb

*The US base salary range for this full-time position is between $113,000 USD - $162,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. *

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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