Exec Director -BI, Data Platforms, and Applied AI

Key Responsibilities

• Lead the definition, engineering, and execution of the University’s enterprise data strategy, aligning data architecture, platforms, and AI capabilities with institutional goals and digital transformation initiatives.
• Design, develop, and maintain robust data and analytics systems, ensuring scalability, security, and performance through modern engineering practices.
• Oversee the Data Engineering team, responsible for enterprise data integration, warehousing, BI reporting, and advanced analytics capabilities.
• Engineer and sustain a secure, scalable data-as-a-service environment to support operational reporting, advanced analytics, and AI workloads.
• Provide technical leadership in software and systems engineering, including integration architecture, API design, and data pipeline development for enterprise systems such as Banner SaaS and Salesforce.
• Oversee the full engineering lifecycle of data and analytics initiatives— from requirements analysis and system design through development, testing, deployment, and continuous improvement.
• Collaborate with the ADS team to support advanced analytics, machine learning, and AI model integration within the enterprise data ecosystem.
• Lead the engineering and governance of applied AI solutions, ensuring infrastructure, data readiness, and policies support responsible and effective AI adoption.
• Establish and maintain data governance frameworks that ensure data quality, security, compliance, and accessibility across institutional systems.
• Stay current with emerging trends in data engineering, BI, AI, and integration technologies to continually refine and modernize the University’s data strategy.
• Foster a collaborative, high-performing engineering culture focused on innovation, service excellence, and continuous improvement.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field (Master’s degree preferred).
• 10+ years of experience in data engineering, business intelligence, or enterprise data management, including 5+ years in a leadership role with system and software design oversight.
• Proven experience designing and developing enterprise data systems, integrations, and analytics platforms using modern engineering principles.
• Strong technical expertise in data architecture, APIs, middleware, and cloud-native solutions (experience with Microsoft Fabric highly desirable).
• Experience with SaaS enterprise systems (e.g., Ellucian Banner, Salesforce) and enabling their reporting, analytics, and AI functionalities through secure integrations.
• Knowledge of applied AI/ML technologies, including embedded and standalone capabilities within enterprise data environments.
• Strong understanding of engineering best practices, including DevOps, CI/CD, version control, automated testing, and secure software development.
• Demonstrated experience implementing data governance and compliance frameworks, ideally within higher education.
• Exceptional strategic and operational leadership with the ability to bridge technical, business, and academic perspectives.
• Prior experience in higher education or a similarly complex, data-intensive environment is highly desirable.

Pay

The hiring salary range for this position is $120,000.00 - $130,000.00. The hiring salary range above represents the University's good faith estimate at the time of posting.