We use cookies to improve your experience, analyse site traffic, and serve personalised ads via Google AdSense. By clicking Accept you consent to our use of cookies. Learn more in our Privacy Policy.

University of New England Career
University of New England Career

Director of Data, Automation, and Intelligence Services

Data & Analytics
2 weeks ago

Are you a visionary who sees the stories hidden within complex data sets? The University of New England is seeking a Director of Data, Automation, and Intelligence Services to serve as the architect of our institutional insight. In this pivotal role, you will lead the design and management of our enterprise data infrastructure, transforming raw information into the fuel that powers strategic decision-making across our campus. If you are passionate about building robust data pipelines, championing data integrity, and creating seamless integrations that bridge the gap between technology and human potential, this is your opportunity to shape the digital future of higher education.

We are looking for a forward-thinking leader who thrives at the intersection of automation, analytics, and collaborative problem-solving. You will work closely with diverse stakeholders to translate institutional needs into high-impact reporting solutions, ensuring that our data is not just accurate and accessible, but truly actionable. Whether you are modeling complex data structures or spearheading the implementation of enterprise-wide automations, your work will directly influence the success of our students and the efficacy of our mission. Join us at UNE, where your expertise will turn information into innovation and help us navigate the evolving landscape of academic intelligence.

Requirements

  • Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
  • Experience with statistical programming languages like R or Python.
  • Ability to derive actionable insights from large, complex datasets.
  • Strong mathematical background and analytical thinking.
  • Experience with data warehousing and ETL processes is beneficial.
  • Degree in Statistics, Mathematics, Economics, or a related field.

📩 Get the latest verified job alerts in your inbox.

Enter your email to receive daily job updates—for free. Plus, get an exclusive career resource instantly when you subscribe!

Get weekly career tips and new job alerts.