AI Enablement Manager

Intuitive Machines•Houston, TX

About The Position

The AI Enablement Manager helps employees use approved AI tools and Strike Team applications effectively in spacecraft engineering, manufacturing, services, and business workflows. Embedded in the AI Strike Team, this role leads enablement from discovery through pilot launch and sustained adoption across six-week delivery sprints. The manager owns adoption planning, practical training, the AI Champions Network, communications, and adoption measurement. They work directly with users and managers to integrate new capabilities into everyday workflows and evaluate success through recurring use and evidence of improved productivity, cycle time, or quality. The role works alongside the Product Lead, Forward Deployed Application Engineers, Core Platform and DevSecOps teams, domain owners, cybersecurity and compliance owners, IT, and application owners. The Product Lead sets priorities and business outcomes with AI Council oversight; domain owners validate workflow benefits and retain engineering approval authority; cybersecurity and compliance owners define policy; and IT and application owners manage access and technical support.

Requirements

Must be a U.S. citizen or permanent resident.
Bachelor’s degree; four additional years of experience may be substituted for a degree.
Minimum of 6 years in technology enablement, organizational change, learning and development, digital adoption, or a related discipline, with evidence of sustained adoption of enterprise tools.
Hands-on experience using AI tools in business workflows and translating their capabilities and limitations into practical guidance for employees.
Ability to design and facilitate effective adult learning, including hands-on exercises, concise documentation, demonstrations, and coaching for varied technical audiences.
Experience leading pilots, stakeholder engagement, communications, and communities of practice across teams or business units.
Ability to use dashboards, surveys, interviews, and workflow observations to diagnose adoption barriers and measure outcomes against a baseline.
Strong writing, presentation, and facilitation skills; ability to influence managers and coordinate delivery without relying on direct reporting authority.
Comfort working alongside software engineers, subject-matter experts, IT, and security teams in a rapid delivery environment.

Nice To Haves

Experience in aerospace, defense, manufacturing, engineering, or another regulated environment with configuration control and sensitive information.
Experience with Microsoft 365 Copilot, SharePoint, Teams, Power Automate, enterprise AI portals, or learning and adoption analytics tools.
Experience building champion networks and scaling adoption across organizational or tenant boundaries; familiarity with approved GovCloud AI workflows.

Responsibilities

Join discovery sessions to understand user needs, readiness, workflow changes, and barriers to adoption; define pilot cohorts, training needs, and adoption measures with the Product Lead and domain owner.
Build an enablement plan for each six-week sprint, including onboarding, hands-on practice, launch communications, support, and follow-up; recruit pilot participants and secure manager commitment.
Own the General Store AI enablement portal, maintaining the approved tools catalog, policy and acceptable-use guidance, acknowledgement process, getting-started content, and support routes with IT and policy owners.
Create and deliver training tailored to engineering, manufacturing, services, and business roles, using real workflow exercises, demonstrations, quick-reference guides, office hours, and train-the-trainer sessions.
Establish and operate an AI Champions Network across all Intuitive Machines locations, equipping champions to coach colleagues, gather feedback, and share validated practices.
Observe users during pilots, identify friction, and coordinate fixes with application engineers and platform teams; distinguish training gaps from access, usability, reliability, or workflow problems.
Teach effective use of M365 Copilot, approved ChatGPT environments, and domain assistants, including output verification and human review.
Reinforce approved data-handling practices for controlled unclassified information (CUI) and ITAR-controlled information; coordinate training and policy acknowledgements with cybersecurity, compliance, and application owners.
Track activation, recurring use, task completion, user proficiency, and business outcomes; communicate verified results and recommend focused interventions when adoption or value falls short.
Within 30 days, assess readiness for priority workflows, establish adoption baselines, define the first pilot cohort, and prepare essential portal content and training.
By the first six-week sprint review, launch enablement for a delivered capability, observe user performance, and report adoption, barriers, and validated early outcomes.
Within 90 days, establish an active champion network, demonstrate recurring use in target cohorts, and provide a repeatable enablement approach for subsequent sprints.
Measure impact through successful tasks and improvements in effort, cycle time, or quality, alongside recurring use and proficiency; agree targets with business owners and include review and support effort when assessing benefits.