Role Description

Program Leadership & Governance

• Lead multiple concurrent AI programs and strategic initiatives across Datacenter, AI, and Cyber 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.

AI Infrastructure & Deployment Management

• 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 data center design.

• Coordinate AI deployment readiness activities across engineering, logistics, integration, field services, operations, and internal and external customer teams.

• Oversee customer onboarding for strategic AI programs and ensure successful execution from concept through production.

• Establish white-glove engagement protocols that become the 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.

Strategic Program Management

• Under the guidance of the Director of IDCS PMO, drive the prioritization and governance of AI/Cyber product backlogs to balance business value, strategic alignment, resource availability, and risk.

• Develop portfolio-level visibility into AI programs, resource planning/utilization, demand/capacity analysis, and business outcomes.

• Maintain executive dashboards and KPI reporting for leadership teams.

Cross-Functional Leadership

• Collaborate with:

  • Sales, Pre-Sales, and Business Development

  • Solutions Architects

  • Engineering

  • Integration Center Operations

  • Delivery Teams

  • AI/Cybersecurity Teams

  • Product Management

  • Leadership

• Facilitate alignment across technical and business stakeholders.

• Resolve conflicts, remove roadblocks, and drive accountability across programs.

Risk, Change & Issue Management

• 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.

Resource & Capacity Planning

• 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.

AI Enablement & Continuous Improvement

• Support AI training, certification, and capability development programs.

• Drive adoption of best practices, standards, automation opportunities, and operational efficiencies.

• Identify opportunities to leverage AI technologies to improve delivery performance and customer experience.

• Champion continuous improvement initiatives focused on scalability, quality, and delivery excellence.

Customer Onboarding & Executive Engagement

• 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 as required 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 with urgency.

• Advise customers on best practices and implementation considerations, ensuring transparent alignment between customer expectations and SHI delivery capabilities prior to execution.

Education

• Bachelor’s degree in Information Technology, Engineering, Computer Science, Business, or related field.

• Master’s degree preferred.

Experience

• 10+ years of progressive Program Management experience.

• 7+ years managing complex technology programs.

• Experience leading cross-functional enterprise initiatives.

• Experience with AI, Cyber, datacenter, infrastructure, cloud, or digital transformation programs.

• Domain understanding of AI/ML infrastructure, including GPU compute platforms, high-performance networking, and advanced cooling solutions.

• Proven success managing executive-level stakeholders and strategic customer engagements.

• Exceptional communication, presentation, and cross-functional collaboration skills.

Technical Knowledge

Preferred experience in one or more of the following:

• AI Infrastructure

• GPU Platforms (NVIDIA ecosystem preferred)

• Datacenter Solutions

• High-Performance Computing (HPC)

• Hybrid Cloud Platforms

• Infrastructure Modernization

• Automation & Orchestration

• Digital Transformation Programs

• Cybersecurity Programs

Preferred Certifications

• PMP (Project Management Professional)

• PMI-PgMP (Program Management Professional)

• PMI-CPMAI (Program Management in Managing AI)

• Certified AI Program Manager (CAIPM)

• NVIDIA AI Certifications

• Cloud Certifications (Azure, AWS, GCP)

• Required to report to the SHI Piscataway, NJ office location as determined by SHI management.

• Some travel required.

• Ability to work across highly matrixed technical and business organizations.

• Ability to support large-scale AI infrastructure deployments, enterprise customer onboarding, and AI transformation initiatives.

• Ability to manage multiple concurrent strategic programs while maintaining governance, operational readiness, and customer satisfaction.