Technical Program Lead

CTG; Morrisville (NC); Hybrid; USD 120,000 - 180,000; Full time

Job summary

CTG is seeking a Technical Program Lead in the RTP/Morrisville, NC area. This hybrid role focuses on leading a global technical enablement and readiness program supporting AI infrastructure and enterprise technology solutions.

You will develop learning paths for Solution Architects, Pre-Sales, Deployment, and other tech teams while coordinating across engineering, sales, and manufacturing to ensure production readiness.

Qualifications

• 8+ years of experience in technical program management, enablement, or related fields.
• Experience leading global technical enablement or workforce readiness programs.
• Experience coordinating cross-functional teams across engineering, sales, and learning organizations.
• Experience supporting enterprise AI, cloud, infrastructure, networking, or data center technologies.

Responsibilities

• Lead the development and execution of a global technical enablement and readiness program.
• Develop and operationalize technical learning paths for multiple tech roles.
• Coordinate technical readiness programs across GPU compute, networking, AI infra validation, and deployment.
• Support enablement across AI enterprise software including deployment and troubleshooting.
• Coordinate product specialization programs across Design, Configure, Build, Deploy, Operate, and Manage.

Skills

Technical program leadership

AI infrastructure

GPU compute

Networking

Enterprise AI software

Technical deployment

Learning paths

Certification management

Stakeholder management

Cross-functional collaboration

Project management

Executive reporting

Global team coordination

Hands-on labs

Education

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

Job description

We are looking for a Technical Program Lead for a client in the RTP, NC area.

Location: Hybrid-Morrisville, NC

Duration: 12+ months, with possibility for extension

Duties:

• Lead the development and execution of a global technical enablement and readiness program supporting AI infrastructure and enterprise technology solutions.
• Develop and operationalize technical learning paths for Solution Architects, Pre-Sales Engineers, Deployment Engineers, Infrastructure Delivery Engineers, Technical Services, Support Engineers, Manufacturing Technical Teams, and partner delivery organizations.
• Coordinate technical readiness programs covering GPU compute infrastructure, networking, AI infrastructure validation, performance optimization, cluster deployment, and production readiness.
• Support technical enablement across AI enterprise software, including architecture awareness, software deployment, incident triage, troubleshooting, configuration, optimization, and root cause analysis.
• Coordinate product specialization programs across Design, Configure, Build, Deploy, Operate, and Manage disciplines.
• Manage technical certification readiness, including prerequisites, hands-on labs, exam preparation, certification completion, skills tracking, and reporting.
• Establish and manage deployment shadowing programs progressing from observation to supervised delivery and independent delivery readiness.
• Partner with Learning & Development teams to integrate technical learning paths into enterprise learning platforms and standardize learning journeys.
• Coordinate global technical workshops, hands-on training, training resources, deployment shadowing, and manufacturing site enablement.
• Establish KPI reporting and executive governance to measure training completion, certification progress, technical readiness, and deployment capability.
• Drive continuous improvement of enablement processes, learning programs, and operational execution.
• Coordinate cross-functional stakeholders across engineering, sales, learning and development, manufacturing, product, delivery, and external technology partners.
• Ensure enablement programs are scalable and aligned with global technical delivery requirements.

Skills:

• Strong technical program leadership and enablement experience.
• Knowledge of AI infrastructure, GPU compute, networking, enterprise AI software, and technical deployment methodologies.
• Understanding of AI infrastructure validation, performance optimization, cluster deployment, and production readiness.
• Experience developing technical learning paths and role-based enablement programs.
• Strong knowledge of technical certification and skills management processes.
• Experience with learning management platforms and digital learning ecosystems.
• Excellent stakeholder management and cross-functional collaboration skills.
• Strong project management, organizational, and communication skills.
• Ability to develop executive-level reporting, KPIs, and program governance.
• Ability to coordinate global teams, workshops, technical training, and deployment readiness activities.
• Experience with self-paced learning, instructor-led training, hands-on labs, certification programs, deployment shadowing, and on-the-job learning.
• Strong analytical and problem-solving abilities.

Experience:

• 8+ years of experience in technical program management, technical enablement, sales engineering, infrastructure delivery, or a related field.
• Experience leading global technical enablement or workforce readiness programs.
• Experience working with engineering, pre-sales, delivery, support, manufacturing, and learning organizations.
• Experience supporting enterprise AI, cloud, infrastructure, networking, or data center technologies.
• Proven ability to manage multiple strategic workstreams and coordinate complex global programs.
• Experience establishing operational processes, reporting frameworks, and executive governance.
• Experience working with technology partners and coordinating technical readiness programs.
• Experience managing training programs for technical teams and measuring learner and deployment readiness.

Education:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, or a related field preferred.
• Equivalent combination of education and relevant professional experience may be considered.