AI Transformation Program Lead

SHI International Corp.; Piscataway (MD); On-site; USD 160,000 - 220,000; Full time

Benefits offered by this job

Diversity commitment

Growth opportunities

Health benefits

Modern facilities

Job summary

SHI International Corp. in Piscataway, NJ, seeks an experienced AI Program Manager to lead and govern complex AI infrastructure, deployment, and transformation programs across the IDCS organization.

You will bridge Sales, Engineering, Operations, and customer stakeholders to ensure successful execution and measurable business value. Reporting to the Director of the IDCS PMO, you will own end-to-end AI initiatives, manage governance, risk, and cross-functional dependencies, and drive scalable AI

Qualifications

• Bachelor’s degree in IT, Engineering, CS, Business or related field.
• Master’s degree preferred for senior roles.
• Proven experience leading large, cross-functional technology programs.

Responsibilities

• Lead multiple AI programs across Datacenter, AI, and Cyber domains.
• Define objectives, scope, schedules, milestones, dependencies, and success criteria.
• Establish governance structures and executive reporting for AI programs.
• Oversee AI infrastructure programs including GPU clusters and AI labs.
• Manage onboarding and engagement with large-scale AI customers.

Skills

Program management

Cross-functional leadership

Executive communication

Risk management

Stakeholder management

AI infrastructure

GPU compute platforms

Education

Bachelor’s degree (IT, Engineering, CS, Business)

Master’s degree preferred

Tools

GPU compute platforms

Datacenter solutions

Job description

SHI International Corp. in Piscataway, NJ, seeks an experienced AI Program Manager to lead and govern complex AI infrastructure, deployment, and transformation programs across the IDCS organization.

You will bridge Sales, Engineering, Operations, and customer stakeholders to ensure successful execution and measurable business value. Reporting to the Director of the IDCS PMO, you will own end-to-end AI initiatives, manage governance, risk, and cross-functional dependencies, and drive scalable AI