Global AI Partner Enablement Lead

ingrammicro; Irvine (CA); On-site; USD 159,000 - 270,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Parental leave

401(k) plan with company match

Disability coverage

Life insurance

Wellbeing benefits

Job summary

Ingram Micro is seeking a senior leader to drive the global AI partner enablement program, shaping curriculum, certification frameworks, readiness models, and operating plans that scale AI capability across partners and regions.

The role involves designing learning journeys, coordinating with engineering teams, hyperscalers, and technology partners, and delivering measurable business impact through vendor-funded initiatives and governance across multiple countries.

Qualifications

• 10+ years in software, cloud, or technology, incl. 5+ years in partner enablement or program leadership.
• 3+ years of people leadership managing teams and cross-functional initiatives.
• Experience building and scaling partner, learning, certification, or enablement programs.
• Strong executive communication, analytical, and stakeholder management skills.

Responsibilities

• Lead Ingram Micro's global AI partner enablement and certification program.
• Design readiness assessments, certification paths, and partner learning journeys.
• Develop AI curriculum and training tracks with engineering teams and partners.
• Launch and manage certification cohorts across multiple countries and regions.
• Drive partner adoption, readiness progression, and revenue outcomes through enablement programs.
• Manage vendor-funded enablement initiatives and demonstrate measurable business impact.
• Lead cross-functional teams and establish program governance, standards, and reporting.

Skills

Executive communication

Analytical

Stakeholder management

People leadership

Program management

Education

Bachelor's degree

Advanced degree preferred

Job description

Ingram Micro is seeking a senior leader to drive the global AI partner enablement program, shaping curriculum, certification frameworks, readiness models, and operating plans that scale AI capability across partners and regions.

The role involves designing learning journeys, coordinating with engineering teams, hyperscalers, and technology partners, and delivering measurable business impact through vendor-funded initiatives and governance across multiple countries.