AI Operations Manager
US$150,000 / yr base salary
Posted 23 Jun 2026
Advertised as “Manager, AI Operations”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- People management
- Employment
- On-Site
| Base salary | US$150,000 / yr |
|---|
Field of studyAccounting, Analytics, Business Administration, Change Management, Information Technology, Operations, Organizational Effectiveness, Product Management, Technology Management (or related)
Study levelBachelor's
Study levelMaster's or higher
Holland America Line has been exploring the world since 1873. Our ships offer innovative features and enriching experiences focused on destination exploration and personalized travel, inviting guests to savor the journey.
The Manager, AI Operations establishes and leads the business-side operating function required to turn enterprise AI capabilities into measurable, adopted, and sustainable ways of working. This role bridges AI Innovation, IT, PMO, commercial/product stakeholders, and business operations by defining the value case for AI work, translating scaled technology into operational implementation plans, and building the change, training, readiness, hypercare, and sustainment practices that enable teams to use AI effectively. As AI adoption expands, this leader will develop the standards, processes, tools, routines, and team capabilities needed to scale AI implementation across the organization. The role manages direct reports, provides strategic and operational leadership through ambiguity, and ensures AI initiatives move beyond pilots and technology delivery to realized business outcomes.
Here’s a summary of what Holland America Line is looking for. Is this you?
Responsibilities:
AI Operations Strategy & Operating Model
-
Establish the business-side AI Operations function, including its service model, intake criteria, implementation standards, readiness criteria, launch playbooks, and success measures.
-
Define how AI solutions transition from innovation and IT scaling into business ownership, including roles, responsibilities, decision rights, handoff requirements, support models, and sustainment expectations.
-
Build repeatable frameworks for AI operational readiness, including process impacts, workflow changes, role impacts, controls, adoption risks, training needs, communications needs, data considerations, and support requirements.
-
Develop the organizational skillsets required to implement AI at scale, including AI change management, adoption analytics, prompt/tool usage standards, human-in-the-loop operations, business process redesign, and responsible AI ways of working.
-
Lead and coach direct reports responsible for implementation planning, adoption support, KPI tracking, training coordination, stakeholder readiness, and operational sustainment.
-
Anticipate future AI operating needs as adoption expands and proactively build scalable tools, processes, templates, and capabilities that can be reused across brands, functions, and teams.
Business Implementation
-
Own the business implementation plan for AI capabilities after IT scaling, including launch planning, stakeholder readiness, business cutover, operational communications, training approach, support model, and hypercare execution.