Manager of Data Engineering & Analytics

Role Description

The University of Maine System is seeking an experienced technology leader to guide our enterprise Data Engineering & Analytics team. This is an exciting opportunity to lead the evolution of the University's enterprise data environment while helping deliver trusted, accessible data that supports student success, institutional planning, and strategic decision-making across Maine's public universities.

If you enjoy building high-performing teams, modernizing enterprise data platforms, partnering with stakeholders, and solving complex organizational challenges, we'd love to hear from you.

What You'll Do

• Lead, coach, and develop a high-performing technical team.
• Guide the design, delivery, and continuous improvement of enterprise data engineering and analytics services.
• Partner with academic and administrative leaders to understand business needs and translate them into scalable data solutions.
• Oversee enterprise data pipelines, integration services, analytics platforms, and governance practices.
• Collaborate with Enterprise Architecture, Information Security, and other IT leaders to advance enterprise technology initiatives.
• Promote modern engineering practices, operational excellence, and continuous improvement.

This is a fully remote position, open to candidates who live and are authorized to work in the United States. Standard hours are Monday through Friday, 8:00 AM to 5:00 PM EST, with occasional evening or weekend work as needs arise.

Qualifications

• Experience leading technical teams in a complex enterprise environment.
• Experience supporting enterprise data engineering, analytics, or business intelligence services.
• Knowledge of modern data architecture, data integration, and enterprise data management.
• Strong project management, organizational, and stakeholder engagement skills.
• The ability to communicate effectively with both technical and non-technical audiences.
• A passion for mentoring others and building collaborative, service-oriented teams.
• Experience with enterprise integration technologies, Agile development practices, and enterprise administrative systems such as PeopleSoft is desirable.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field and seven years of progressively responsible professional experience supporting or managing enterprise data engineering, analytics platforms, or enterprise data services; OR
• Master's degree in a related field and five years of progressively responsible professional experience supporting or managing enterprise data engineering, analytics platforms, or enterprise data services.
• Experience supervising technical staff or serving in a formal technical leadership role.
• Experience overseeing enterprise data pipeline and ETL/ELT processes.
• Experience overseeing cloud-based platforms and evaluating performance, reliability, and cost optimization.

Benefits

• Competitive salary: $85,000–$95,000 commensurate with education and experience.
• Comprehensive health benefits, including medical, dental, vision, flexible spending accounts (FSA), and Health Savings Account (HSA) options.
• Employer-paid benefits, including basic life insurance and long-term disability coverage, with additional voluntary coverage options available.
• Retirement plan through TIAA with 10% employer contribution and opportunities for additional tax-deferred retirement savings.
• Generous paid time off, including vacation and sick leave, plus 13 paid holidays each year.
• Tuition waiver program for employees, including graduate courses and Maine Law, plus substantial tuition discounts for eligible spouses and dependent children.
• Employee Assistance Program (EAP) and wellness programs supporting your health and well-being.
• Professional development and opportunities to grow your career within Maine's public university system.
• Additional voluntary benefits, including pet insurance, home and auto insurance discounts, and supplemental disability and life insurance options.