Manager of Data Engineering & Analytics

University of Maine
United States
29 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$85,000.0 - $95,000.0
Working hours
Shift work

Tech stack

Agile Methodology Business Analytics Applications Data Analysis Cyber Security Information Systems Data Architecture Information Engineering Data Governance Data Integration Extract Transform Load (ETL) DevOps Systems Integration
+7 more
Enterprise Data Management Cloud Platform System Information Technology People Soft Data Analytics Enterprise Integration Data Pipelines

Job 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 As Manager of Data Engineering & Analytics, you will lead a team of data engineers, business intelligence analysts, and data governance professionals responsible for delivering enterprise data services across the University of Maine System. You’ll help shape the future of our enterprise data platform by improving reliability, scalability, and governance while supporting data-informed decision-making throughout the organization.

You’ll:

  • 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.

Requirements

We’re looking for a collaborative technology leader who combines technical expertise with strong leadership and communication skills.

Successful candidates will bring:

  • 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., * 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.

  • Experience with modern enterprise data platforms and technologies, including cloud-native data architectures, orchestration tools, integration platforms, event streaming, and business intelligence solutions.
  • Experience in applying Agile software development methodologies, CI/CD practices, and automation within enterprise technology environments.
  • Experience supporting enterprise administrative systems, such as PeopleSoft ERP or comparable platforms.
  • Experience leading or supporting modernization initiatives involving enterprise data platforms, governance, and cloud technologies., * 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., * Experience with modern enterprise data platforms and technologies, including cloud-native data architectures, orchestration tools, integration platforms, event streaming, and business intelligence solutions.
  • Experience in applying Agile software development methodologies, CI/CD practices, and automation within enterprise technology environments.
  • Experience supporting enterprise administrative systems, such as PeopleSoft ERP or comparable platforms.
  • Experience leading or supporting modernization initiatives involving enterprise data platforms, governance, and cloud technologies.

Benefits & conditions

Competitive salary: $85,000-$95,000 commensurate with education and experience (non-negotiable)

About the company

Shape the Future of Data Across Maine’s Public Universities, The University of Maine System (UMS), established in 1968, consists of seven universities and the University of Maine School of Law, spread across various locations in Maine. UMS provides system-wide services and governance from these locations, leveraging the distinct strengths and collaborations among its institutions to advance strategic priorities for UMS and the state of Maine.

Choosing UMS means opting for a high quality of life supported by excellent benefits such as tuition waivers, robust retirement contributions, and comprehensive insurance coverage including medical, dental, vision, life, and disability. Maine’s diverse landscapes, from accessible wilderness and rugged coastline to urban centers and rural communities, offer numerous cultural activities, strong public schools, safe neighborhoods, and high-quality healthcare. Discover more about Maine’s exemplary lifestyle on the Maine Office of Tourism website.

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