Minimum qualifications:Bachelor's degree or equivalent practical experience.1 year of experience in program management.1 year of experience in solving machine learning or artificial intelligence challenges involving data analytics and statistics.Experience with SQL or R, Python, or other programming/scripting languages to manipulate datasets.Preferred qualifications:Ability to collaborate with a diverse range of people and job functions.Ability to be an influential member of a highly integrated team composed of both technical and non-technical members.Ability to assess data quality problems, identify solutions, and contribute to shaping technical directions in a fast-changing environment.Ability to work separately, manage multiple projects simultaneously, and solve problems creatively.Excellent verbal and written communication skills, with the ability to interact with technical and non-technical global, cross-functional groups.Excellent team player with a positive attitude.About the jobA 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.Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.ResponsibilitiesContribute to and execute Geo Data Operations, machine intelligence strategy in collaboration with engineering teams, and manage cross-functional relationships.Identify processes, infrastructure, and tooling requirements to scale machine learning services and grow engagement.Drive adoption of model sustainment and AI operations within Geo Data Operations, developing and delivering complex machine learning projects from conception to implementation.Build scalable and intelligent solutions to produce large volumes of high quality data that form the center of Google Maps’ consumer and enterprise user needs.
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