Portfolio Lead, Sustainability

Posted 3 Days Ago
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London, Greater London, England
Senior level
Artificial Intelligence
The Role
The Portfolio Lead, Sustainability will manage a portfolio related to AI applications for sustainability at Google DeepMind. Responsibilities include collaborating with teams to leverage technology for real-world solutions, driving project strategies, overseeing budgets, and evaluating success metrics while building partnerships.
Summary Generated by Built In

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.

Snapshot

The Google DeepMind Impact Accelerator (GDI) has a unique role in Google DeepMind (GDM), to drive real world impact with solutions and resources built on GDM's technologies and expertise that extend the benefits to humanity. 

About us

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

Working in partnership with GDI’s leadership, you will develop and be responsible for a portfolio within our AI for Sustainability effort, including directing, organising and driving activities that advance the positive impact to sustainability in this domain area.  

This is an evolving and dynamic area of Google DeepMind with a collaborative, diverse group that partners closely with a wide variety of teams across Google DeepMind, Alphabet and a range of external partners.

Key responsibilities

  • Identify opportunities to use Google DeepMind technology to solve real-world problems in this domain, and determine the best approach and execution plans for prioritised ideas, alongside research, engineering and GDI teams. 
  • Bring together and motivate individuals (including Scientists and Engineers) from across Google DeepMind to work on projects related to AI applications to sustainability.
  • Drive a portfolio of projects related to these applications, taking ownership of defining objectives, outlining strategies, and achieving results. 
  • Scope, prototype and launch solutions incorporating research improvements, ideas from stakeholders and the deep understanding of user needs and preferences you have developed, to ensure equal access and wide adoption of the solutions. 
  • Build and manage external ecosystem relationships in the specific domain. 
  • Deliver continuous success of programs against their objectives, evaluating them structurally and driving interventions when needed.
  • Oversee budgets and resourcing, working closely with the team and program manager to optimise and manage it.

The role will suit candidates who enjoy applying state-of-the-art AI to important real-world problems that maximise positive impact for the wider community.

About you

In order to set you up for success as the Sustainability Portfolio Lead at Google DeepMind, we look for the following skills and experience:

  • Demonstrable experience and knowledge of driving sizeable programs relating to real world AI applications, from inception to delivery in a fast paced and dynamic environment succesfully collaborating across multiple high performing stakeholders. 
  • Prior professional experience and/ or an academic background in an area of sustainability, such as climate, biodiversity or material sciences 
  • Confidence and effectiveness in engaging researchers and engineers. While not an ML specialist yourself, you are able to understand the considerations related to AI research and technologies.  
  • Program and Product Management experience; crafting strategic product roadmaps from conception to launch, driving decisions based on insights driving equitable usage.
  • High quality and ethical standard that is showcased on your approach on making decisions and communicating results. 
  • Management experience and a proven ability to collaborate with a variety of talenyed colleagues, teams and partners.
  • Outstanding communication skills and ability to work with both tech and non-tech teams and senior leadership. 
  • A passion for Google DeepMind’s mission and knowledgeable and excited about AI and its potential for scientific and real-world impact.

Deadline to apply: 5pm GMT, Sunday 5th January 

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.


Top Skills

AI
The Company
1,218 Employees
On-site Workplace
Year Founded: 2010

What We Do

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.

Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).

Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.

We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

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