Digital Operations Platform Manager, Facilities Services Department

Digital Operations Platform Manager - Facilities Services Department

This position is responsible for overseeing and integrating Facilities Services enterprise systems, ensuring secure, reliable, and well-governed data while supporting analytics, decision-making, and organizational needs across multiple platforms. The role will ensure system integration, data governance, security, and reporting integrity while supervising data analytics functions and coordinating with platform stewards to align technology with business needs. The position reports to the Senior Director of Accounting and Business Services.

• Lead the administration, integration, and governance of Facilities Services' enterprise systems, including Workday, Archibus, Trimble Unity Construct, Microsoft Fabric, Power BI, and Microsoft Power Platform
• Design and maintain enterprise data architecture, data pipelines, and reporting solutions that support reliable, secure, and actionable business intelligence
• Develop and oversee data governance, semantic modeling, analytics standards, and self-service reporting capabilities to promote consistent and informed decision-making
• Establish and enforce security, access control, compliance, and platform governance standards across systems, data, and automation solutions
• Manage Microsoft Power Platform governance, including automation standards, citizen developer solutions, and application lifecycle management practices
• Supervise and mentor data analytics staff while fostering data literacy, user enablement, and continuous improvement across the organization
• Coordinate change management, release planning, incident response, vendor relationships, and platform investments to ensure operational reliability and long-term sustainability
• Collaborate with stakeholders across Facilities Services, Information Technology, Finance, Human Resources, and other university departments to align technology solutions with organizational priorities
• Support emerging technologies and artificial intelligence initiatives by ensuring secure, governed, and high-quality data foundations
• Perform other assigned duties as needed

• Bachelor's Degree in Information Systems, Information Technology, Computer Science, or related field and at least four (4) years of professional work experience
• OR Master's Degree in Information Systems, Information Technology, Computer Science, or related field and at least two (2) years of professional work experience
• Experience using Python and SQL to support data preparation, transformation, orchestration, and validation of enterprise data to ensure accuracy and reliability
• Experience developing and overseeing Power BI reporting and semantic data models, including dimensional modeling, certified datasets, and standardized measures to support consistent enterprise analytics

Sitting most of the time but may require walking or standing for brief periods of time; exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects, including the human body. May be required to lift up to 10 pounds with the instructions and training per safety guidelines.

A valid Class "C" driver's license or higher operator's license is required at the time of appointment and as a condition of continuing employment.

Typical work schedule:
Monday-Friday, 8:00 a.m.

- 4:30 p.m. May include occasional after-hours release windows and on-call rotation for priority incidents. Limited travel for vendor/user conferences or training. Position is designated as essential personnel and may be required to work outside of regularly scheduled hours in the event of campus emergency, special event, or building operations.

Grade:
Administrative Faculty

C. Salary is competitive and commensurate with related education and experience. Salary schedule can be viewed on the university website.

The University of Nevada, Reno is committed to providing a place of work and learning free of discrimination on the basis of age, disability, gender, sexual orientation, race, color, religious belief, national origin, or any other protected class. For more information, see the university's employment equality statement.