GoogleEmployer profile
Technical Program Manager, Data Analytics
Location not specified · 8–83.3 yrs
Experience
- 8–83.3 yrs
Salary
- Not disclosed
Location
- Location not specified
Work mode
- Not specified
Job type
- Full-time
Apply by
- Closing date not listed
Posted
- 12 Jun 36
About this role
Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 8 years of experience in program or project management.
- Experience in building reports/dashboard, investigative models, data pipelines using SQL or Python.
- Experience in technical program management in a data related domain.
- Ability to work cross-functionally with global geographically dispersed program managers, data engineers and data scientists to understand, implement and deploy actionable analytics solutions.
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.
Responsibilities
- Execute programs that deliver on cost savings efficiencies planning, and requirements. Work with other program managers to shape functional requirements and translate them into technical/actionable efforts.
- Develop dashboards/reports, what-if analysis, models, data pipeline management, advance toolkits or decision support systems to improve the efficiency and responsiveness of Google’s infrastructure.
- Provide technical leadership to data engineers in generating high quality and reliable solutions.