AI Enablement Lead

Job Description Reporting to the Director of Client Support Services, the AI Enablement Lead oversees key enterprise client productivity tools that incorporate generative AI capabilities, including ChatGPT, Anthropic, and similar platforms. This role is accountable for ensuring these tools are delivered and accessed securely, sustainably, and in alignment with institutional priorities. Working in partnership with other Harvard AI service owners and cross‑university stakeholders, the AI Enablement Lead helps coordinate a cohesive approach to the adoption of AI‑enabled client productivity tools across Harvard. The role blends service governance, operational oversight, financial stewardship, and stakeholder engagement to support responsible and effective use of these tools. The AI Enablement Lead also evaluates emerging AI‑enabled tools and capabilities and collaborates with partners to pilot and operationalize new services that can scale across the University. As these technologies evolve, this role helps translate new capabilities into well‑governed, sustainable services that support Harvard’s academic and administrative mission, with a focus on tools within the Client Services portfolio. Job‑Specific Responsibilities: Service Ownership & Operations Serve as the accountable service owner and program lead for Harvard’s enterprise AI‑enabled client productivity tools (e.g., ChatGPT, Anthropic, and similar tools). Establish and oversee operational processes for account provisioning and deprovisioning, ensuring access controls align with policy and contractual terms. Oversee and continuously improve intake, approval, and access workflows (e.g., ServiceNow processes), ensuring clarity, efficiency, and auditability. Develop and maintain clear, user‑facing materials including documentation, knowledge articles, FAQs, training content, and feature comparisons to support adoption and effective use. Translate complex technical capabilities and policies into accessible, well‑structured content for a range of audiences. Serve as a subject‑matter expert on supported AI‑enabled productivity tools and advise schools and units on appropriate tool selection and use cases. Develop guidance and best practices to help schools and units use these tools effectively and responsibly. Financial & License Management Partner with Finance to manage budgeting, billing, and cost recovery models for AI‑enabled productivity tool licenses. Track license allocation across schools and units and ensure accurate billing based on assigned licenses. Develop and refine cost models and reporting to support transparency and sustainable growth of services. Monitor usage trends to inform license planning, renewals, and vendor negotiations. Vendor & Risk Management Partner with key university stakeholders (Vendor Management, Strategic Procurement, Office of the General Counsel, etc.) to oversee vendor relationships and contractual considerations for AI‑enabled client productivity tools. Partner with Information Security and Data Protection (ISDP) and other stakeholders to assess security, privacy, and compliance risks and ensure appropriate safeguards are in place. Escalate service issues and coordinate remediation with vendors and internal stakeholders. Stakeholder Engagement & Governance Proactively engage with HUIT service owners whose platforms incorporate AI capabilities to maintain a shared understanding of available and emerging tools, align on positioning and use cases, and support a coordinated approach to AI‑enabled productivity across the institution. Engage governance bodies, stakeholder groups, and AI working groups to inform roadmap priorities and responsible AI standards. Proactively gather, analyze, and synthesize input from vendors, peer institutions, and schools and units to develop clear, structured insights that inform tool selection, feature enablement, and policy decisions. Translate user needs, vendor capabilities, and institutional priorities into concise recommendations and decision‑making materials for stakeholders and governance groups. Measure and present key metrics on adoption, usage, cost trends, and service performance. Partner with university governance groups to support responsible AI standards, usage guidance, and institutional policy development. Tool Enablement & Innovation Collaborate with cross‑functional partners to evaluate and pilot emerging AI‑enabled technologies and service models. Help define operational, governance, and support frameworks required to scale successful AI pilots into sustainable, supportable services. Identify opportunities to expand client productivity tools and document associated use cases, requirements, and risk considerations. Support alignment between AI‑enabled client productivity tools and broader innovation initiatives across Harvard. Qualifications Basic Qualifications: Minimum of five years’ post‑secondary education or relevant work experience. Additional Qualifications and Skills: The ideal candidate brings a blend of enterprise SaaS experience, emerging AI fluency, operational discipline, and the ability to navigate complex stakeholder environments. In addition, the following qualifications are a plus: Experience managing enterprise SaaS platforms, including license administration, provisioning workflows, and cost or billing coordination. Familiarity with generative AI technologies (e.g., large language models, AI assistants) and an understanding of responsible AI principles, including privacy, data protection, and governance considerations. Experience partnering with Information Security, data protection, or risk management teams in evaluating technology solutions. Demonstrated ability to gather and translate business requirements into structured recommendations or vendor‑facing conversations. Strong analytical and communication skills, including the ability to explain complex AI concepts to non‑technical audiences and present usage or cost data clearly. Ability to operate effectively in a rapidly evolving technology landscape. Additional Information Working Conditions: Onsite work is performed in an office setting. Appointment End Date: June 30, 2028. Standard Hours/Schedule: 35 hours per week. Hybrid: 1‑2 days onsite per week on average plus ad‑hoc meetings. Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position. Pre‑Employment Screening: Identity. Other Information: Please provide a cover letter and resume as one document with your application. This position has a 180‑day orientation and review period. Salary Grade and Ranges: This position is salary grade level 058. Please visit Harvard’s Salary Ranges to view the corresponding salary range and related information. Benefits 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. EEO/Non‑Discrimination Commitment Statement Harvard University is committed to equal opportunity and non‑discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non‑discrimination policy. Harvard’s equal employment opportunity policy and non‑discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination. #J-18808-Ljbffr Harvard University