Jobs / United States / Harvard University
Senior Application Analyst, AI Operations, IT
Harvard University · 🇺🇸 Boston, MA, US
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 123 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 73 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Harvard University
The US Department of Labor certified 123 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 73 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Harvard University →
About the role
Job Summary: Are you excited by the opportunity to help run and optimize the AI services that are changing how a world-class business school works, learns, and innovates? Do you enjoy turning emerging technology into reliable, secure, and well-supported services? If so, consider joining HBS IT as a Senior Application Analyst, AI Operations. This role provides critical subject matter expertise and operational support to our faculty, learners, and staff in support of HBS’s mission to educate leaders who make a difference in the world. The Senior Application Analyst, AI Operations, IT reports to the Manager, IT Collaboration Services and is part of the Application & Service Administration team within HBS IT’s Talent Management, Services and Support IT group. This position is responsible for the reliable, secure, and effective operation and maintenance of HBS IT’s artificial intelligence services, platforms, integrations, and related applications. They partner with HBS IT teams along with vendors and stakeholders across HBS, to deliver AI services that are reliable, secure, appropriately governed, and aligned with institutional needs. The ideal candidate is an experienced application operations professional who combines strong technical judgment with a service-oriented approach. They are comfortable supporting rapidly evolving AI technologies, coordinating across teams, leading major incident response, and translating operational needs into clear plans and sustainable processes. Job-Specific Responsibilities: • Administer the AI services lifecycle, including provisioning, deprovisioning, role-based access, configuration, service readiness, and ongoing operational support • Serve as an operational liaison between the AI Operations team and the AI Strategy and Capabilities team, translating new solutions into supportable services and communicating operational needs • Implement approved service plans, operational plans, roadmaps, and lifecycle activities in partnership with the manager, AI Strategy and Capabilities team, and other IT stakeholders • Test, validate, document, and implement connectors between HBS IT platforms, AI services, and Model Context Protocol servers, including authentication, data access, security validation, troubleshooting, and transition to support • Monitor service health, adoption, usage, token utilization, and operational trends through dashboards, reports and service data and recommendation service improvements and optimization • Coordinate AI service rollouts, upgrades, releases, migrations, and implementations, including requirements gathering, testing, communications, knowledge transfer, and post-implementation validation • Serve as a subject matter expert on AI service operations and provide technical expertise for projects, implementations, use cases, and support decisions • Diagnose, coordinate, escalate, and resolve incidents affecting AI platforms, integrations, agents, and related applications, including oversight of technical resolution of major incidents with vendors and internal teams • Create and maintain operational documentation, including service records, procedures, connector documentation, and knowledge base articles. • Collaborate with Information Security, identity and access management, and others to support security reviews, risk assessments, audits, data protection, and responsible AI practices • Support AI service licensing and procurement activities by maintaining inventories, track assignments and renewals, review utilization, gather requirements, coordinate vendor information, and escalate budget or contract decisions to management • Identify operational risks, recurring problems, defects, and enhancement opportunities, and contribute to backlog prioriti