Director of AI Solutions & Delivery

Herzing Brand • Milwaukee, WI

1d • Onsite

About The Position

The Director of AI Solutions & Delivery serves as the execution owner for enterprise AI initiatives. This role is accountable for delivering AI solutions that generate measurable value across student success, academic innovation, and operational efficiency. The Director leads AI initiatives from intake through production and sustained value realization, ensuring AI solutions are operationalized within core university processes rather than remaining isolated pilots. This role requires strong delivery leadership, comfort with ambiguity, and the ability to drive outcomes through influence and partnership across IT, academic, and operational teams.

Requirements

• 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.
• Applicants must be authorized to work for any employer in the U.S. We do not sponsor or take over sponsorship of an employment Visa at this time.

Nice To Haves

• 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.

Responsibilities

• AI Delivery Ownership & Value Realization: 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.
• Execution, Delivery & Cross-Functional Enablement: 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.
• Data Science & AI Solution Delivery: 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.
• Leadership & Change Management: 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.
• Governance, Risk & Responsible AI: 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.
• Stakeholder Collaboration & Insight Translation: 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).
• Research & Emerging Technologies: 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.

Benefits

• tuition waiver and reimbursement program
• health insurance
• paid time off
• retirement savings plan

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 501-1,000 employees