Portfolio Lead, Global Health

Responsibilities

• Develop the impact strategy for the Global Health portfolio, as part of the broader Life Sciences effort.
• Drive a portfolio of projects to deliver the strategy, taking ownership of defining objectives, outlining strategies and roadmaps, and achieving results.
• Identify and define opportunities to use Google DeepMind technology to solve real-world problems, working alongside research, engineering and partnerships teams, and partner with them to determine the best approach and execution plans for prioritised ideas.
• Use your influence to bring together and motivate individuals (including Scientists and Engineers) from across Google DeepMind to work on projects related to AI applications for enhancing global health.
• Scope, prototype and launch solutions, and build and manage external product/deployment partnerships where relevant.
• Develop and execute a plan to drive adoption of solutions, continuously monitoring and understanding drivers of it. Identify and execute high value impact acceleration opportunities.
• Collect and incorporate research improvements and ideas from stakeholders and partners for the solution roadmap.
• Identify and deliver opportunities to catalyse the use of AI for addressing global health challenges.
• Define metrics and evaluate the success of projects against their goals and objectives, and share lessons and insights across the wider business.
• Build relationships and collaborate with multiple stakeholders internally (GDI, GDM, and broader Alphabet) and externally.
• Proactively monitor the external landscape. Engage with partners, researchers and experts to understand key sector needs, challenges, and opportunities to apply our technology for social good.

Skillset

• Prior professional experience and/ or an academic background in an area of life sciences.
• Deep interest in global health, with demonstrable knowledge of the global landscape, key challenges, and potential solutions.
• Demonstrable experience and knowledge of managing products and programs relating to real-world AI applications.
• Product management experience; crafting strategic product roadmaps, working with cross-functional teams to manage the lifecycle of products from inception to delivery, and driving adoption and impact.
• Proven ability to collaborate effectively with a variety of colleagues, senior leadership, and partners.
• Confidence and effectiveness in engaging researchers and engineers. While not a Machine Learning specialist yourself, you are able to understand the considerations related to AI research and technologies.
• Strong communication skills; ability to synthesise complex or technical details into accessible and precise insights, establish credibility with internal and external stakeholders, and represent Google DeepMind externally.
• Ability to thrive in ambiguity and shape your own path. You are comfortable navigating uncharted territory, taking initiative, and defining a clear path forward in a fast-paced and dynamic environment.
• A passion for Google DeepMind’s mission, and knowledgeable and excited about AI and its potential for scientific and real-world impact.