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AI Learning Program Manager

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HBS

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Location:
United States , Boston

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Category:
Education

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Contract Type:
Not provided

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Salary:

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Job Description:

The Digital, Data, and Design (D³) Institute at Harvard is accepting applications for an AI Learning Program Manager. D³ helps industry leaders re-imagine the potential of AI in business and society through cutting-edge research and experiential learning. We are seeking an experienced Program Manager to help scale the D³ executive education portfolio by embedding AI-enabled workflows into curriculum development, delivery readiness, and program evaluation. This role will work closely with Faculty and the Harvard Business School Executive Education team, to scale a new AI-focused executive workshop program. The AI Learning Program Manager will operate as a hands-on partner who (1) rapidly translates emerging D³ and HBS faculty research into executive-ready curriculum assets, and (2) designs and operationalizes AI tools, automations, and agentic workflows that streamline recurring program tasks (e.g., content iteration cycles, session readiness packs, evaluation synthesis, and reporting). The role combines strong program management discipline with practical AI fluency.

Job Responsibility:

  • Identify high-impact opportunities to streamline and scale executive education program workflows using AI tools, automation platforms, and agentic systems
  • In partnership with the Agentic AI Product Manager, develop and maintain reusable “program operating assets” enabled by AI
  • Serve as a trusted advisor to program teams regarding when AI can help optimally scale program effectiveness
  • Translate D³/HBS research into executive-ready curriculum assets
  • Serve as a primary partner to faculty for refining session plans and program structure
  • Coordinate faculty touchpoints for overall curricular review and refinement sessions
  • Run rapid iteration cycles on curriculum components
  • Build and manage a content “refresh cadence”
  • Maintain a curriculum library for modular reuse across programs
  • Redesign and automate key components of program evaluation using AI
  • Implement a structured evaluation approach that produces actionable insights quickly
  • Define and track KPIs tied to program outcomes and operational efficiency
  • Partner with stakeholders to convert evaluation insights into prioritized improvements
  • Partner with HBS Executive Education teams to ensure seamless delivery readiness
  • Anticipate operational risks and bottlenecks
  • design mitigations and scalable processes
  • Maintain clear documentation and “single source of truth” artifacts
  • Establish and adhere to governance protocols for AI usage in program workflows and content development
  • Implement QA processes for AI-assisted outputs
  • Maintain clear boundaries and documentation for AI/agent behaviors
  • Build trust and collaboration by being present on-site and engaging directly with colleagues

Requirements:

  • Bachelor’s degree required
  • Minimum of 5 years of experience in large scale program management, executive education operations, curriculum development, learning design, or a closely related role
  • Demonstrated experience using AI tools to materially improve workflow efficiency and/or output quality (content development, synthesis, analysis, or automation)
  • Strong project management and operational execution skills
  • ability to manage multiple concurrent workstreams and deliver under deadline
  • Excellent communication skills and stakeholder management
  • ability to partner effectively with faculty, program leaders, and delivery teams
  • Strong judgment and quality orientation, including comfort implementing verification and governance practices for AI-assisted work

Nice to have:

  • Advanced degree in a relevant field preferred
  • Experience with automation and AI concepts (e.g., workflow orchestration, tool-using agents, multi-step automations, monitoring/QA)
  • Familiarity with platforms and approaches such as: LLM-based content workflows, prompt libraries, retrieval-augmented knowledge workflows, and automation tooling preferred
  • Experience designing evaluation approaches (quantitative + qualitative) and producing executive-facing insights and recommendations
  • Experience working in higher education or research-driven organizations, ideally in executive education environments
What we offer:
  • Generous paid time off including parental leave
  • Medical, dental, and vision health insurance coverage starting on day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Support for families and caregivers
  • Professional development opportunities including tuition assistance and reimbursement
  • Commuter benefits, discounts and campus perks

Additional Information:

Job Posted:
March 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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