AI-Driven TPM for Data Center & Logistics Analytics

Socket.dev; Atlanta (GA); On-site; USD 138,000 - 197,000; Full time

Job summary

Google is seeking a Technical Program Manager to lead complex, multi-disciplinary AI and data analytics projects across infrastructure operations. You will plan requirements, identify risks, manage schedules, and communicate with cross-functional partners and executives.

You will collaborate with engineering, operations, and product management to deliver AI-enabled data analytics and governance throughout the product lifecycle. Experience with data discovery and analytics is essential.

Qualifications

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

Responsibilities

• Partner with Data Center and Logistics teams to define AI and data analytics requirements and own end-to-end technical execution.
• Collaborate with POCs and PgMs to drive timelines, manage constraints, and communicate progress to customers.
• Program manage the development of AI solutions, data pipelines, and decision-support systems to improve infrastructure efficiency.
• Create documentation, training, and webinars to promote self-serve analytics across the infrastructure organization.
• Identify and implement process improvements to speed up data solution delivery.

Skills

Program management

Data analytics

Supply chain management

Education

Bachelor's degree or equivalent practical experience

Tools

SAP

SQL

Dashboard creation

Job description

Google is seeking a Technical Program Manager to lead complex, multi-disciplinary AI and data analytics projects across infrastructure operations. You will plan requirements, identify risks, manage schedules, and communicate with cross-functional partners and executives.

You will collaborate with engineering, operations, and product management to deliver AI-enabled data analytics and governance throughout the product lifecycle. Experience with data discovery and analytics is essential.