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  7. Technical Program Manager, Mechanical Data Center Supplier Quality
Google logo

Technical Program Manager, Mechanical Data Center Supplier Quality

Google·, Singapore
Full-time
Posted 1 day ago

Application completed on Google

About This Role

MINIMUM QUALIFICATIONS:

* Bachelor's degree in a mechanical or technical field, or equivalent practical

experience.

* 2 years of experience in technical program management.

* Experience integrating generative AI tools or LLM interfaces into workflows.

* Experience with product field failure resolution and failure analysis.

* Experience in manufacturing (e.g., setup of product quality plan or

statistical analysis).

PREFERRED QUALIFICATIONS:

* Six Sigma Blackbelt, Auditor Certifications or equivalent

certification/experience.

* 4 years of experience in data analysis, report creation, statistical

modeling, and forecasting.

* Prior experience working with, or implementing, industry standards such as

ASTM, ASME, EN, IPC, or local equivalents.

* Proficiency in design of experiments, statistical analysis and process

control, and familiarity with application of statistical analysis tools such

as Minitab/ANOVA.

* Knowledge of mechanical standards, mechanical and infrastructure equipment

applied to mission critical operations or data centers (EN, ISO, IATF, APQP)

* Ability to travel up to 75% (20-50% likely), as needed.

ABOUT THE JOB:

Google's projects, like our users, span the globe and require managers to keep

the big picture in focus while being able to dive into the unique engineering

challenges we face daily. As a Technical Program Manager at Google, you lead

complex, multi-disciplinary engineering projects using your engineering

expertise. You plan requirements with internal customers and usher projects

through the entire project lifecycle. This includes managing project schedules,

identifying risks and clearly communicating them to project stakeholders. You're

equally at home explaining your team's analyses and recommendations to

executives as you are discussing the technical trade-offs in product development

with engineers.

Using your extensive technical and leadership expertise, you manage projects of

various size and scope, identifying future opportunities, improving processes

and driving the technical directions of your programs.

The AI and Infrastructure team is redefining what’s possible. We empower Google

customers with breakthrough capabilities and insights by delivering AI and

Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our

customers include Googlers, Google Cloud customers, and billions of Google users

worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering

the development of our cutting-edge AI models, delivering unparalleled computing

power to global services, and providing the essential platforms that enable

developers to build the future. From software to hardware our teams are shaping

the future of world-leading hyperscale computing, with key teams working on the

development of our TPUs, Vertex AI for Google Cloud, Google Global Networking,

Data Center operations, systems research, and much more.

RESPONSIBILITIES:

* Build and maintain strong relationships with cooling and thermal system

equipment suppliers, ensuring proactive quality management throughout the

product lifecycle.

* Lead in-depth power distribution failure investigations, identifying true

root causes and implementing systemic corrective actions to prevent

recurrence.

* Analyze production metrics, test results, quality audits, and field

performance data to establish statistical links and drive proactive quality

improvements. Validate supplier build and test processes against Google

requirements and relevant industry standards (e.g., PPAP) to ensure

compliance and product lifecycle integrity.

* Conduct supplier audits and inspections, identifying areas for improvement in

variability reduction, predictability, lead time optimization, and output

quality enhancement.

* Partner with suppliers and internal SMEs to resolve complex product quality

and process issues across the full product lifecycle. Manage quality

improvement projects involving both internal and external stakeholders,

ensuring timely delivery and measurable results.

Required Skills

Technical Program ManagementMechanical EngineeringSupplier Quality ManagementFailure AnalysisStatistical AnalysisData AnalysisGenerative AIProcess ControlRoot Cause AnalysisQuality AuditsManufacturingProduct Lifecycle ManagementStatistical ModelingForecastingDesign Of Experiments

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Location
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Category
Operations Management
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