Hiring.Camp

AI Enablement - Technical Program Manager (Consultant, Program Management)

Ingrammicro

·

Sep 9, 2026

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Location
Manila, Philippines
Type
Full-time
Department
IT
Seniority
Manager
Experience
5+ years
Education
Bachelor
Source
Workday

Description

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description: 

Shape the Future of AI at Ingram Micro

At Ingram Micro, we're helping businesses realize the promise of technology by delivering innovative solutions that power growth, transformation, and opportunity around the world. As a global technology leader, we connect people, technology, and business outcomes at scale, creating meaningful impact for customers, partners, and communities.

Our AI Center of Excellence plays a critical role in this journey, bringing together business, product, engineering, data, and platform teams to develop and scale AI-powered solutions that drive measurable value.

We believe the best innovations come from diverse perspectives, strong collaboration, and a shared commitment to excellence. Guided by our Tenets of Success, Results, Integrity, Imagination, Courage, Responsibility, and Talent, we foster an inclusive culture where individuals are empowered to learn, grow, challenge what's possible, and make an impact. Together, we're shaping the future of technology and creating opportunities for our people to do the best work of their careers.

What You'll Do: Your Role in Making an Impact

As an AI Enablement Technical Program Manager (Consultant, Program Management), you will lead the end-to-end delivery of strategic enterprise AI programs, helping transform innovative ideas into scalable solutions that deliver meaningful business outcomes. Reporting to the Program Manager Lead, you will serve as the bridge connecting business stakeholders, product teams, AI engineering, development, data engineering, and platform teams to ensure successful execution across multiple initiatives.

In this role, you will define program roadmaps, establish milestones and success measures, and guide the prioritization of AI use cases aligned to organizational goals. You will drive cross-functional coordination, manage risks and dependencies, and maintain alignment between technical delivery and business value realization. You will oversee the deployment of enterprise AI and Agentic AI solutions, ensuring adherence to best practices across model lifecycle management, monitoring, governance, and operational excellence. Additionally, you will provide executive-level visibility into program progress, support organizational adoption of AI capabilities, and help ensure all solutions meet Responsible AI, security, and data privacy standards. Your contributions will directly influence how Ingram Micro scales AI innovation across the business.

What You Bring to the Role: Professional Experience & Skills

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.
  • Approximately 5 to 10 years of experience in Technical Program Management, technology delivery, or a similar leadership role managing complex, cross-functional initiatives.
  • Proven success delivering large-scale technology, AI/ML, data platform, or digital transformation programs from concept through production deployment.
    • Strong understanding of AI and machine learning concepts, including GenAI, data pipelines, model lifecycle management, and enterprise AI delivery practices.
    • Experience leading enterprise AI, machine learning, or data platform programs at scale.
    • Familiarity with MLOps practices, model monitoring, retraining frameworks, and AI governance standards.
    • Exposure to Agentic AI, multi-agent orchestration, automation platforms, or intelligent workflow solutions.
  • Experience working within Agile, Scrum, hybrid, or large-scale enterprise delivery environments.
  • Experience working with cloud-based platforms, particularly Google Cloud Platform, AWS, or similar environments.
  • Certification or formal training in Project Management, Agile, Scrum, SDLC, or related methodologies is highly valued.

Skills

AWSMachine LearningData EngineeringAgileScrumProject ManagementProgram Management

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