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About the Role
This senior IT leadership role is responsible for designing, developing, and executing the university’s enterprise data strategy, including data platforms, integration frameworks, BI solutions, and applied AI capabilities. The position ensures alignment with institutional goals, compliance, and evolving needs, partnering with senior leadership and stakeholders to deliver data services that enable informed decision-making and innovation.
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.
Requirements
- Proven experience designing and developing enterprise data systems, integrations, and analytics platforms using modern engineering principles.
- Experience with SaaS enterprise systems (e.g., Ellucian Banner, Salesforce) and enabling their reporting, analytics, and AI functionalities through secure integrations.
- 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.
Skills
- Data architecture
- APIs
- Middleware
- Cloud-native solutions
- Microsoft Fabric
- Applied AI/ML technologies
- DevOps
- CI/CD
- Version control
- Automated testing
- Secure software development
- Data governance
- Compliance frameworks
Experience Level
- 10+ years of experience in data engineering, business intelligence, or enterprise data management
- 5+ years in a leadership role with system and software design oversight
Education Level
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field
- Master’s degree preferred
Salary/Compensations
- $120,000.00 - $130,000.00