Director of Data, Automation, and Intelligence Services

Position Details

Position Information

Position Type Professional Staff Faculty Track Position Title Director of Data, Automation, and Intelligence Services Employment Status Full Time Months 12 Campus Portland, ME Description

The Director of IT Data, Automation, and Intelligence Services provides strategic leadership and operational oversight for the university's data engineering, analytics, systems integration, and intelligent automation functions. This role leads an ITS team responsible for data infrastructure, reporting and analytics platforms, enterprise integrations, automated workflows, and AI-enabled solutions that support institutional effectiveness.

Reporting to the VP/CIO, the Director serves as a key liaison between Information Technology Services (ITS) and the university's academic and administrative units, ensuring high-quality data, seamless system integration, and actionable insights that inform decision-making across the institution.

About The University of New England

UNE is Maine's largest private university, with two beautiful coastal campuses in Maine, a one-of-a-kind study-abroad campus in Tangier, Morocco, and an array of flexible online offerings. In an uncommonly welcoming and supportive community, we offer hands-on learning, empowering students to positively impact a world full of challenges. We are the state's top provider of health professionals and home to Maine's only medical and dental colleges, a variety of other interprofessionally aligned health care programs, and nationally recognized programs in the marine sciences, the natural and social sciences, business, the humanities, and the arts.

Benefits Overview

• Multiple health and dental plan options, plus vision coverage.
• Up to 8% retirement plan match.
• Generous leave time, including vacation, sick, and personal time, and 12+ holidays per year.
• Educational benefits:
• UNE tuition waiver for employees, spouses, and domestic partners

For more information about our outstanding benefits, please visit: UNE Benefits Overview

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

• 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

Preferred

• 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

EEO Statement Summary

Consistent with federal and state law and University policy, the University of New England is committed to the fundamental concept of equal opportunity for all of the members of the University community. The University prohibits, and will not tolerate, discrimination in employment, the provision of academic services or in any other area of University life based on race, color, sex, physical or mental disability, religion, age, ancestry, national origin, sexual orientation, gender identity and/or expression, ethnicity, genetic information, HIV status, or status as a veteran. Prohibited bias factors should not motivate decisions regarding students, employees, applicants for admission, applicants for employment, contractors, volunteers or participants in and/or users of institutional programs, services, and activities.

Vaccination Statement (PLEASE NOTE)

Employees in clinical settings must meet the State of Maine's immunization requirements for clinical activity.

Additional Note

This position is not eligible for H-1B visa sponsorship.

Anticipated Pay Range $140,000 - $150,000

Posting Detail Information

Posting Number 2022PS0889P Open Date 07/20/2026 Close Date Open Until Filled Yes

Supplemental Questions

Required fields are indicated with an asterisk (*).

Documents Needed to Apply

Required Documents

• Cover Letter
• Resume
• Names and contact information for two professional references

Optional Documents

• Letter of Recommendation