Technical Program Manager, Platforms and Devices, Health AI

Google; London; On-site; GBP 60,000 - 100,000; Full time

Job description

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Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 2 years of experience in technical program management.
• Experience with software development cycle.

Preferred qualifications:

• Experience in consumer health and fitness products.
• Understanding basic machine learning concepts and algorithms to apply predictive models and insights.
• Excellent leadership, communication and collaboration skills.
• Excellent problem-solving skills.

About the job

A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

As an Intelligence Technical Program Manager, you will partner with cross-functional teams and executive leadership to drive Google's Health AI program.

Responsibilities

• Collaborate and build alignment with cross-functional partners such as, Product Management, Engineering, Research, Design, User Experience, Clinical, Regulatory, Research, Partnerships, Customer Support, and Marketing to define all workstreams, requirements, schedules, resourcing, and milestones.
• Develop data insights and solutions to issues, trends, and perspectives that may influence program execution and strategy.
• Communicate project status to different audiences, including cross-functional teams and executives.
• Demonstrate technical knowledge and thought leadership to run projects from early exploration to model development to user validation.
• Help the team work in a culture of trust and respect.