Director of Data, Automation, and Intelligence Services

Responsibilities
Lead the design development and management of enterprise data infrastructure and analytics platforms Oversee data pipelines data modeling and reporting solutions that support institutional decision-making Ensure data accuracy consistency and accessibility across systems and stakeholders Partner with stakeholders to translate business needs into data and reporting solutions Direct the design and implementation of integrations across enterprise applications Lead the development of automated workflows that reduce manual processes and improve operational efficiency Ensure integration reliability scalability and alignment with institutional architecture Oversee the delivery of dashboards reports and analytical tools for academic and administrative units Promote self-service reporting capabilities while maintaining governance and data integrity Drive the use of data to support planning performance measurement and strategic initiatives Lead the evaluation and implementation of AI-enabled tools and solutions that enhance decision-making and efficiency Identify opportunities for advanced analytics automation and intelligent insights across the institution Lead coach and develop a multidisciplinary team of data engineers analysts and integration specialists Serve as a trusted advisor and liaison to campus partners on data reporting and automation needs Promote cross- ITS collaboration and consistent practices Contribute to multi-year data and analytics strategies aligned with institutional priorities Support governance for data management system integrations and responsible use of data and AI Establish and track key performance indicators related to data quality reporting adoption and automation impact Identify and implement improvements that enhance data reliability efficiency and user experience Performs other duties as assigned

Qualifications
Bachelors degree in information technology data science computer science or related field Progressive experience (typically 710 years) in data analytics integration or related IT functions Experience leading data engineering business intelligence or enterprise integration initiatives Strong understanding of data architecture reporting platforms and automation tools Demonstrated ability to lead teams and collaborate with technical and nontechnical stakeholders Excellent communication problem-solving and leadership skills Preferred Masters degree in a related field Experience in higher education or similarly complex organizations Experience with data platforms ETL / ELT processes and analytics tools Familiarity with integration technologies (e.g. APIs middleware) Experience with AI/advanced analytics tools and governance considerations Experience with enterprise reporting and data visualization platforms

Required Experience:

Unclear Seniority