AI Delivery and Operations Lead

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🔥 0 minutes ago

🏈 Alabama, Arizona, +31 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🌾 Nebraska – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote 🍑 Georgia – Remote

💵 $88.1k - $141k / year

⏰ Full Time

🟠 Senior

⚙️ Operations

👻 Ghost score 0%

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• Just posted.
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SNHU Careers

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1932

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

SNHU Careers is the careers and hiring portal for Southern New Hampshire University, a nonprofit institution focused on transforming learners’ lives. The site promotes the university’s mission-driven culture, inclusive values, employee benefits (including remote work options and paid time off), and a wide range of job categories from academics and teaching to business operations, student support, marketing, and campus roles. It encourages talent community sign-ups and highlights professional development, diversity and equity initiatives, and flexible work arrangements.

📋 Description

• 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

• 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

• 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

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