Director of Data, Automation, and Intelligence Services

University of New England Career•Portland, ME

About The Position

This role leads the design, development, and management of enterprise data infrastructure and analytics platforms. The Director will oversee data pipelines, data modeling, and reporting solutions that support institutional decision-making, ensuring data accuracy, consistency, and accessibility. They will partner with stakeholders to translate business needs into data and reporting solutions, and direct the design and implementation of integrations across enterprise applications. Additionally, this role involves leading the development of automated workflows, ensuring integration reliability, scalability, and alignment with institutional architecture. The Director will oversee the delivery of dashboards, reports, and analytical tools, promote self-service reporting while maintaining governance, and drive the use of data for planning and strategic initiatives. A key aspect of this role is leading the evaluation and implementation of AI-enabled tools and solutions, identifying opportunities for advanced analytics, automation, and intelligent insights. The Director will also lead, coach, and develop a multidisciplinary team, serve as a trusted advisor to campus partners, promote cross-ITS collaboration, and contribute to multi-year data and analytics strategies. Support for governance in data management, system integrations, and responsible use of data and AI is crucial, as is establishing and tracking KPIs related to data quality, reporting adoption, and automation impact. The role also involves identifying and implementing improvements to data reliability, efficiency, and user experience, and performing other duties as assigned.

Requirements

Bachelor’s degree in information technology, data science, computer science, or related field
Progressive experience (typically 7–10 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

Nice To Haves

Master’s 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

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