AI Delivery and Operations Lead

SNHU Careers

. Own the day-to-day operating rhythm of AI Engineering, including syncs, demos, retrospectives, leadership reviews, planning cycles, and decision/action logs .

Posted 11/11/2026full-timeRemote • United StatesSenior💰 $88,130 - $141,036 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing AI Engineering initiatives, including program and project management, delivery planning, and stakeholder accountability. Proficient in synthesizing complex information into actionable recommendations while maintaining a strong focus on AI applications and software delivery methodologies.

Highest-signal resume keywords

Program ManagementAI Applications KnowledgeAgile Software DeliveryStakeholder AccountabilityRisk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Program ManagementProject ManagementTechnology DeliveryAI ApplicationsSoftware Delivery MethodsRisk ManagementDependency ManagementStructured Problem SolvingClear WritingPresentation Skills

Soft Skills

Influencing Without AuthorityCuriosityCommitment to LearningOwnership MindsetReliability

Tools & Technologies

Azure DevOpsJiraAI ToolsMicrosoft CopilotClaude

Industry Keywords

Enterprise SoftwareData and AnalyticsAutomationAI GovernanceCross-Functional Environment

Tech Stack

Tools & technologies

AzureCloud

About the role

Key responsibilities & impact

Own the day-to-day operating rhythm of AI Engineering, including syncs, demos, retrospectives, leadership reviews, planning cycles, and decision/action logs
Manage pod stages from idea through production and handover to a long-term owner
Lead go/no-go reviews and recommend whether initiatives should continue, change course, launch, or stop
Lead assigned priority pod initiatives from intake and scoping through build and launch
Build integrated delivery plans with scope, milestones, owners, dependencies, and success measures
Track AI Engineering OKRs, hold owners accountable, raise risks and blockers, and provide quarterly planning and reporting data
Track AI Engineering action items from the weekly AI intake meeting through closure
Turn risks, dependencies, and blockers into recommendations and materials for the AVP and executive leadership
Initially serve as an individual contributor and potentially build a small delivery team as pods grow
Collaborate with university IT, security, AI governance, and business teams

Requirements

What you’ll need

7+ years of progressively responsible experience in program, project, technology delivery, or operations management in a complex, cross-functional environment
Experience delivering technology-enabled initiatives such as enterprise software, data and analytics, automation, or AI
Bachelor's degree in business, information systems, computer science, or a related field
Equivalent experience in lieu of degree acceptable
Working knowledge of AI applications, including large language models, retrieval, agents, evaluation, and model and cloud costs
Strong knowledge of software delivery methods, including Agile and hybrid approaches, release planning, risk and dependency management, and OKRs
Experience moving software, data, or AI products from pilot into supported production, including IT, security, and architecture review
Structured problem solving and ability to synthesize complex information into clear recommendations
Clear, concise writing and presentation for audiences up to executive leadership
Proficiency with work-management tools such as Azure DevOps or Jira
Ability to create clarity from ambiguity and exercise sound judgment with limited direction
Ability to influence and hold stakeholders accountable without direct authority
Ability to manage multiple complex priorities and dependencies simultaneously
Ability to lead and coach delivery staff and set shared practices across several teams
Ownership mindset, follow-through, and credibility with senior leaders
Curiosity and commitment to keeping AI knowledge current
Attendance, punctuality, and reliability are essential functions
Preferred: technical background such as software or data engineering, technical program management, or engineering management
Preferred: use of AI tools such as Microsoft Copilot or Claude, including small automations for routine reporting

Benefits

Comp & perks

High-quality, low-deductible medical insurance
Low to no-cost dental and vision plans
5 weeks of paid time off
Almost a dozen paid holidays
Employer-funded retirement
Free tuition program
Parental leave
Mental health and wellbeing resources
Reliable internet connection and a dedicated, properly equipped workspace for remote employees