Enterprise AI Architect & Strategy Lead

The Momentary

Bentonville (AR)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Job summary

The Momentary seeks an AI Program Manager to design and operationalize an enterprise AI ecosystem across its non-profit portfolio. You will establish a scalable AI architecture with governance, versioning, and responsible AI practices, coordinating with executive leadership and technical teams.

This role drives AI-enabled workflows, engagement with stakeholders, and the adoption of enterprise AI capabilities, balancing governance with practical execution in a fast-paced environment.

Qualifications

  • Bachelor’s degree in statistics, economics, analytics, mathematics, computer science, information technology, or a related field is required.
  • Experience designing scalable systems, frameworks, and operating models is required.
  • Experience in governance frameworks, controls, and policy structures is strongly preferred in regulated environments.

Responsibilities

  • Define and implement a scalable AI architecture and governance framework across the organization.
  • Design and enforce AI governance, controls, and versioning standards with auditability.
  • Lead AI transformation initiatives, change management, and adoption strategies across business units.
  • Partner with technology teams to align architecture and governance with enterprise standards.
  • Represent AI transformation capabilities internally and externally through thought leadership.

Skills

Enterprise transformation
Technology strategy
Governance
Architecture
Change management
Executive communication

Education

Bachelor’s degree (related field)
Master’s degree preferred

Job description

The Momentary seeks an AI Program Manager to design and operationalize an enterprise AI ecosystem across its non-profit portfolio. You will establish a scalable AI architecture with governance, versioning, and responsible AI practices, coordinating with executive leadership and technical teams.

This role drives AI-enabled workflows, engagement with stakeholders, and the adoption of enterprise AI capabilities, balancing governance with practical execution in a fast-paced environment.

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