Senior Technical Program Manager - EDM and Reverse Logistics at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, High-Tech, TechnologyIndustries

Requirements

Bachelor’s degree or MBA in a relevant field (Supply Chain Management, Business, Computer Science, or equivalent) or equivalent experience. Advanced degrees or relevant certifications (e.g., PMP) highly desirable
10+ years as a Technical Program Manager or similar role in the hi-tech/fabless semiconductor industry, with solid focus on supply chain initiatives
Domain Expertise: Hands-on experience in Enterprise Data Management (data modeling, engineering, governance), Reverse Logistics, and Manufacturing Execution Systems (MES)
Technical Skills: Familiarity with enterprise technology solutions including SAP MDG, SAP S/4HANA Logistics, SAP Digital Manufacturing (DM/ME), ERP systems, Informatica, Databricks, and related

Responsibilities

Lead the planning, execution, and monitoring of strategic projects across data management, reverse logistics, and manufacturing execution
Drive multi-functional initiatives spanning material master, customer master, returns, repairs, disposal, order release, resource allocation, and execution tracking—with a focus on the unique demands of the fabless semiconductor and high-tech industry
Balance program leadership and technical depth, collaborating closely with engineering, data governance, operations, and business partners to ensure successful delivery of integrated, scalable solutions
Apply standard project management and process improvement methodologies to streamline operations
Partner with cross-functional teams (Supply Chain, Finance, IT, Sales) to implement technology solutions that enhance operational efficiency and reduce operational costs
Monitor performance metrics and continuously drive improvements in system functionality, user experience, and process alignment
Establish project governance frameworks, dashboards, and reporting mechanisms. Provide transparent updates and metrics to senior management, ensuring documentation and compliance
Drive adoption of new processes and technologies. Develop communication plans, training materials, and engagement strategies to ensure smooth transitions and effective collaborator alignment
Find opportunities for process optimization, automation, and standardization. Implement best practices to enhance efficiency, performance, and return on investment
Manage relationships with vendors and external partners. Oversee contracts, service level agreements (SLAs), and procurement of technology solutions to ensure successful delivery and ongoing support

Skills

Key technologies and capabilities for this role

Technical Program ManagementSystems IntegrationData ManagementReverse LogisticsManufacturing ExecutionSupply Chain ManagementData GovernanceEnterprise ArchitectureResource AllocationExecution Tracking

Questions & Answers

Common questions about this position

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What key skills are required for the Senior Technical Program Manager role?

The role requires program leadership with technical depth, expertise in project management and process improvement methodologies, skills in governance and reporting, change management and adoption strategies, and abilities in continuous improvement, automation, and standardization.

What is the team structure like for this position?

You will be part of the Global IT PMO team and partner with cross-functional teams including Supply Chain, Finance, Sales, IT, engineering, data governance, operations, and business partners.

What makes a strong candidate for this Technical Program Manager position?

Strong candidates will have experience leading complex, large-scale technical programs in data management, reverse logistics, and manufacturing execution, particularly in fabless semiconductor or high-tech industries, with the ability to drive multi-functional initiatives and ensure technical alignment and scalability.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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