Job Summary:
Herzing University is committed to fostering a diverse and inclusive environment. They are seeking a Director of AI Solutions & Delivery who will lead enterprise AI initiatives to enhance student success, academic innovation, and operational efficiency, ensuring these solutions are integrated into the university's core processes.
Responsibilities:
• Accountable for delivery of enterprise AI initiatives from intake through production and sustained value realization.
• Prioritize and sequence AI use cases based on institutional value, feasibility, risk, and readiness.
• Ensure AI initiatives move beyond pilots into scalable, operationalized capabilities embedded in day-to-day operations.
• Advise senior leadership on AI trends, priorities, tradeoffs, risks, and opportunities based on feasibility and demonstrated value from delivery efforts within higher education.
• Lead cross-functional execution of AI initiatives across IT, data, analytics, architecture, and platform teams
• Drive measurable outcomes including improved student experience, operational efficiency, decision quality, and workforce enablement.
• Partner with Business Analysts and key stakeholders to shape demand and align delivery to operational needs.
• Direct work performed by AI developers and analysts and external vendors to ensure disciplined execution, and quality outcomes while adapting to evolving needs.
• Serve as the single execution owner, accountable for coordination, progress, and outcomes.
• Partner with Data and BI teams to ensure data readiness and operationalization from enterprise systems (e.g., SIS, LMS, CRM, research, financial and operational systems).
• Lead institutional analytics experts to design and implement AI/ML models (e.g., predictive analytics, NLP, Learning Analytics) that address institutional challenges.
• Oversee delivery of AI-enabled solutions (e.g., predictive analytics, NLP, learning analytics) in collaboration with analytics and Business Intelligence teams.
• Ensure delivered solutions meet performance, reliability, and continuous-improvement expectations.
• Directly manage and develop AI developers and analysts, including performance management, skills development, prioritization, and delivery standards.
• Establish development practices, quality standards, and reusable delivery patterns for AI solutions.
• Lead and influence cross-functional teams across IT, academics, operations, clinicals, and external partners without reliance on formal authority.
• Support adoption by working with leaders, faculty, and staff to enable effective use of AI capabilities.
• Serve as a change leader supporting teams through ambiguity, shifting priorities, and evolving AI capabilities.
• Partner with governance bodies to embed privacy, security, architectural, and responsible-AI guardrails into AI delivery processes.
• Ensure AI initiatives align with FERPA, data privacy, security, and institutional policies.
• Champion equity-focused AI design, responsible AI practices through delivery execution, transparency, and long-term sustainability.
• Partner with academic, operational, and administrative leaders and external stakeholders to assess needs and deliver AI-driven solutions that align with institutional priorities.
• Communicate delivery progress and outcomes in clear, actionable terms for non-technical and senior stakeholders.
• Translate complex findings into actionable insights in partnership with BI and reporting teams, ensuring clarity for non-technical audience (e.g., university leadership, department heads, faculty).
• Monitor emerging AI, generative AI, and education technology trends relevant to higher education use cases.
• Lead pilot initiatives and internal research efforts related to AI technologies, including Large Language Models (LLMs) and generative AI, for educational and operational applications.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Data Science/ Analytics, Engineering, or a related field.
• 7+ years of experience across AI, data, digital transformation, or advanced analytics roles, including leadership of enterprise-scale initiatives.
• Demonstrated experience leading end‑to‑end delivery of complex, cross‑functional initiatives from intake through execution with measurable outcomes.
• People‑management experience, including direct leadership of AI or analytics teams.
• Strong working knowledge of AI and machine learning concepts, including model lifecycle considerations and responsible AI practices.
• Experience designing, architecting, and leading delivery of AI-enabled solutions across CRM platforms and broader enterprise systems (e.g., Salesforce and adjacent student lifecycle, data, and operational platforms), with solutions not limited to a single platform.
• Previous experience partnering effectively with Solution Architects and IT leadership to deliver scalable, secure, and integrated solutions aligned with enterprise architecture and institutional priorities.
• Experience executing within governed and regulated environments, with strong understanding of data privacy, security, and ethical AI considerations (e.g., FERPA or similar frameworks).
• Experience working with vendors, system integrators, or implementation partners.
Preferred:
• Master's degree in a related field.
• Familiarity with higher education environments, student lifecycle systems, or education technology ecosystems.
• Exposure to generative AI, agentic AI concepts, or AI-enabled process automation at an execution or oversight level.
• Understanding of Learning Tools Interoperability (LTI) standards.
Company:
Herzing University provides students with career-oriented classes, flexible scheduling, and supportive faculty and staff. Founded in 1965, the company is headquartered in Atlanta, USA, with a team of 1001-5000 employees. The company is currently Late Stage.