Technical Program Manager, Data Analytics
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience managing projects.
- Experience with building and operating data pipelines using SQL and Python.
Preferred qualifications:
- Experience influencing and leading organizational change in metrics organizations.
- Experience managing teams/data engineers to develop analytics solutions and lead data operations.
- Ability to lead cross-functional teams with global geographically dispersed program managers, data engineers, and data scientists to understand, implement, and deploy analytics solutions.
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.
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.
The Cloud Supply Chain Data is chartered to provide business analytics, Machine Learning, and insights to enable users with the data to make decisions. The team works to extend Google’s analytical platforms and partner cross-organizational data providers.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Responsibilities
- Manage the design, development, and execution of analytical programs that drive data-driven decision-making and enhance operational efficiency, aligning with business goals and metrics governance frameworks.
- Partner with analytics program managers and functional leads to translate business requirements into technical solutions.
- Lead development of data pipelines that streamline data collection, processing, and analysis.
- Provide guidance and mentorship to data engineers, ensuring the development of reliable analytical solutions.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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