Technical Program Manager II, Data Center and Logistics Analytics

Google LLC; Atlanta (GA); On-site; USD 138,000 - 197,000; Full time

Job summary

Google is seeking a Technical Program Manager II for Data Center and Logistics Analytics in Atlanta, GA. You will lead cross-functional, end-to-end programs, collaborating with data science, infrastructure operations, and product teams to define requirements, manage schedules, and communicate risks and progress to stakeholders.

You will own the complete product lifecycle for AI and data analytics initiatives, including data discovery, analytics, and governance, with a focus on driving efficiency

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 2 years of experience in program management.
• Experience in supply chain management (e.g., infrastructure operations, supply chain operations, data center operations or manufacturing).
• Experience with advanced data analytics/statistical analysis (e.g., SAP, SQL, dashboard creation).

Responsibilities

• Lead end-to-end programs across data center and logistics analytics.
• Define requirements, identify risks, and manage project schedules with cross-functional partners.
• Communicate analyses and recommendations to executives and engineers.

Skills

Program management

Cross-functional collaboration

Data analytics

Education

Bachelor's degree in a technical field

Tools

SAP

SQL

Dashboard creation

Job description

Technical Program Manager II, Data Center and Logistics Analytics

Share Technical Program Manager II, Data Center and Logistics Analytics

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• Bachelor's degree in a technical field, or equivalent practical experience.
• 2 years of experience in program management.
• Experience in supply chain management (e.g., infrastructure operations, supply chain operations, data center operations or manufacturing).
• Experience with advanced data analytics/statistical analysis (e.g., SAP, SQL, dashboard creation).

Preferred qualifications:

• 2 years of experience managing cross-functional or cross-team projects.
• Experience driving AI or machine learning programs and utilizing data analytics to solve business problems.

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.

Behind every Google experience you know and love is the infrastructure that keeps it running. The teams leading Google Cloud AI Infrastructure require data, analytics, and AI to bring Google customers the experience they expect and deserve.

We are here to transform Google's global data center and logistics operations through the strategic use of AI and data analytics. As a Technical Program Manager, you will collaborate closely with engineering, operations, and product management teams to implement leading edge AI and data analytics that directly fuel efficiency gains and foster innovation. You will have ownership of the complete product lifecycle, encompassing data discovery, analysis, AI and data analytics solution development, and on-going governance.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

Behind every Google experience you know and love is the infrastructure that keeps it running. The teams leading Google Cloud AI Infrastructure require data, analytics, and AI to bring Google customers the experience they expect and deserve.

We are here to transform Google's global data center and logistics operations through the strategic use of AI and data analytics. As a Technical Program Manager, you will collaborate closely with engineering, operations, and product management teams to implement leading edge AI and data analytics that directly fuel efficiency gains and foster innovation. You will have ownership of the complete product lifecycle, encompassing data discovery, analysis, AI and data analytics solution development, and on-going governance.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Partner with functional Data Center (e.g., Server Operations) and Logistics teams to define AI and data analytics requirements and own the end-to-end technical execution.
• Collaborate with Functional POCs and PgMs to drive project timelines, proactively manage constraints, and ensure transparent communication regarding progress and completion goals to customers.
• Program manage the development of AI solutions, data pipelines, and decision-support systems to enhance the responsiveness and efficiency of Google’s infrastructure.
• Drive the adoption of Google's best practices by creating comprehensive documentation, training, and webinars to empower the infrastructure organization with robust self-serve analytics.
• Ideate and implement process improvement initiatives to optimize operations by increasing the velocity and quality of data solution delivery.

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 .

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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