Please submit your resume in English - we can only consider applications submitted in this language.
Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:
In-office locations: Mexico City, CDMX, Mexico.
Remote location(s): Mexico.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:
In-office locations: Mexico City, CDMX, Mexico.
Remote location(s): Mexico.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience designing, constructing, or managing infrastructure projects.
- 5 years of experience in program management.
- Experience creating infrastructure designs (e.g., telecom, electrical, mechanical), drawing sets for builds, and remodels of data center networking spaces.
- Experience working in a data analytics development environment, with supply chain applications through the project lifecycle.
Preferred qualifications:
- Advanced degree in Computer Science, Analytics, Statistics, Industrial Engineering, or Operations Research.
- Experience in data insights through visualizations and working with customers to maximize insights.
- Experience working in an agile program management environment with ambiguous requirements, competing priorities and shared resources.
- Experience in leading development of analytics automation for one or more of supply chain verticals (e.g. Logistics, Procurement, Order Management etc.).
About the job
In this role, you will work with functional supply chain teams across the organization (e.g. Logistics, Procurement, etc.) to understand their data analytics requirements, and develop a solution in an Agile approach. You will own technical aspects of the solution development (e.g. data visualizations, data tables, scripts, etc.).
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Update customers on completion times, discuss constraints and communicate progress.
- Lead investigative analytics, Support/Program Manage developing dashboards / reports, what-if analysis, models, data pipeline management, advance problem-solving toolkits or decision-support systems to improve the efficiency and responsiveness of Google’s infrastructure.
- Support Cloud Supply Chain Data Team's best practices by developing documentation, training and webinars to enable self-serve analytics for the supply chain.
- Implement process initiatives to improve the Cloud Supply Chain data operational model delivering data solutions.