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SHI International

IT solutions provider for hardware software

AI Program Manager - AI

Program ManagementConfirmed live in the last 24 hours
Full-timePiscataway, NJ, USA

About the Job

Requirements

  • A bachelor's degree in Information Technology, Engineering, Computer Science, Business, or a related field is required.
  • At least 10 years of progressive program management experience is required.
  • At least 7 years of experience managing complex technology programs is required.
  • Experience leading cross-functional enterprise initiatives is required.
  • Experience with AI, cybersecurity, datacenter, infrastructure, cloud, or digital transformation programs is required.
  • Domain understanding of AI/ML infrastructure, including GPU compute platforms, high-performance networking, and advanced cooling solutions, is required.
  • Proven success managing executive-level stakeholders and strategic customer engagements is required.
  • Strong communication, presentation, and cross-functional collaboration skills are required.
  • Experience in one or more of the following areas is preferred: AI infrastructure; GPU platforms, preferably the NVIDIA ecosystem; datacenter solutions; high-performance computing; hybrid cloud platforms; infrastructure modernization; automation and orchestration; digital transformation programs; cybersecurity programs.
  • PMP, PMI-PgMP, PMI-CPMAI, Certified AI Program Manager, NVIDIA AI, or cloud certifications such as Azure, AWS, or GCP are preferred.
  • Ability to work across highly matrixed technical and business organizations is required.
  • Ability to support large-scale AI infrastructure deployments, enterprise customer onboarding, and AI transformation initiatives is required.
  • Ability to manage multiple concurrent strategic programs while maintaining governance, operational readiness, and customer satisfaction is required.

Responsibilities

  • Lead multiple concurrent AI programs and strategic initiatives across datacenter, AI, and cybersecurity solution domains.
  • Define program objectives, scope, schedules, milestones, dependencies, and success criteria.
  • Establish and maintain governance structures, steering committees, executive reviews, and stakeholder communication plans.
  • Develop program roadmaps aligned with IDCS strategic priorities and growth objectives.
  • Ensure adherence to PMO standards, methodologies, processes, and reporting requirements.
  • Facilitate executive decision-making through data-driven program reporting and recommendations.
  • Manage AI infrastructure programs involving GPU clusters, AI factories, high-performance computing platforms, storage, networking, and field deployment initiatives.
  • Provide thought management on emerging trends in rack-scale computing, AI infrastructure, liquid cooling, and next-generation datacenter design.
  • Coordinate AI deployment readiness across engineering, logistics, integration, field services, operations, and internal and external customer teams.
  • Oversee customer onboarding for strategic AI programs and ensure execution from concept through production.
  • Establish white-glove engagement protocols as a repeatable standard for onboarding future enterprise and hyperscale customers.
  • Manage cross-functional dependency planning and execution across multiple workstreams.
  • Ensure operational readiness for large-scale AI engagements and infrastructure implementations.
  • Drive prioritization and governance of AI and cybersecurity product backlogs, balancing business value, strategic alignment, resource availability, and risk, under the guidance of the Director of IDCS PMO.
  • Develop portfolio-level visibility into AI programs, resource planning and utilization, demand and capacity analysis, and business outcomes.
  • Maintain executive dashboards and key performance indicator reporting for leadership teams.
  • Facilitate alignment across technical and business stakeholders.
  • Resolve conflicts, remove roadblocks, and drive accountability across programs.
  • Identify and proactively manage program risks, assumptions, constraints, and dependencies.
  • Lead escalation management and executive communications for high-priority issues.
  • Establish change management practices and governance controls for AI programs.
  • Ensure mitigation strategies are implemented and tracked to closure.
  • Coordinate resource demand planning across AI project portfolios.
  • Forecast staffing needs and identify capability gaps.
  • Support workforce planning and bench-strength development initiatives.
  • Contribute to the PMO's strategic vision to improve organizational readiness for future AI growth.
  • Support AI training, certification, and capability development programs.
  • Drive adoption of best practices, standards, automation opportunities, and operational efficiencies.
  • Identify opportunities to use AI technologies to improve delivery performance and customer experience.
  • Champion continuous improvement initiatives focused on scalability, quality, and delivery excellence.
  • Own the end-to-end technical onboarding experience for large-scale strategic customers, from initial engagement through production handoff.
  • Lead design reviews, solution workshops, and architecture sessions with customer and internal technical teams.
  • Serve as the escalation point and trusted advisor for customers during onboarding, ensuring commitments are met and expectations are exceeded.
  • Proactively identify risks, dependencies, and technical blockers and drive cross-functional resolution.
  • Advise customers on best practices and implementation considerations, aligning customer expectations with SHI delivery capabilities before execution.

Desired Qualifications

  • A master's degree is preferred.

About the Company

SHI International

IT solutions provider for hardware software

SHI International helps organizations manage technology by selecting, deploying, and managing IT across cybersecurity, cloud, and everyday hardware and software needs. It started in 1989 as a software reseller and pivoted in the early 2000s to include hardware after a large-scale laptop deployment, shaping it into a full-service IT provider. Today, it is a $16 billion global firm with over 7,000 employees and is the largest MWBE in the United States. The company grows through strategic acquisitions and focuses on emerging technologies such as generative AI and cybersecurity to expand its capabilities. Its goal is to deliver comprehensive IT solutions and services to customers while expanding its reach and staying close to evolving technology needs.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Franklin Township, NJ
Founded
1989

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