Senior Environmental Data & Enterprise Systems Lead

Onterris Payroll, LLC; Loveland (CO); On-site; USD 100,000 - 150,000; Full time

Job summary

Onterris in Loveland, CO seeks a Senior Enterprise Informatics specialist to lead software selection, deployment, and integration of data systems across GIS and analytics. You will drive adoption, develop user documentation, and ensure data quality.

You will train up to 100 users, collaborate with QA, IT, and clients, and translate complex datasets into clear insights while advancing environmental and safety objectives.

Qualifications

• Bachelor’s degree or higher in a relevant field; Master’s preferred.
• 10+ years of experience in project operations, data management, or related areas.
• Strong knowledge of data management, system architecture, and reporting tools.

Responsibilities

• Software selection, implementation, launch, testing, troubleshooting, and enhancement of the Enterprise Informatics system.
• Coordinate with Montrose entities and Loveland team to define and develop functionality.
• Train Loveland team (up to 100 people) to use the Enterprise Informatics system.
• Cross-connect the system with analytics and geospatial databases.
• Develop and deliver communications to promote adoption and data reporting.

Skills

Analytical skills

Problem-solving

Organizational skills

Communication skills

Self-motivated

Customer-service orientation

Safety awareness

Collaboration

Education

Bachelor's degree in Business, Environmental Science, GIS, Information Systems, or related field

Master's degree preferred

Tools

Power BI

Tableau

Looker

Google Analytics

Excel/VBA

Jira

ArcGIS

SharePoint

Power Platform

ERP systems (Oracle, SAP, NetSuite)

Job description

Onterris in Loveland, CO seeks a Senior Enterprise Informatics specialist to lead software selection, deployment, and integration of data systems across GIS and analytics. You will drive adoption, develop user documentation, and ensure data quality.

You will train up to 100 users, collaborate with QA, IT, and clients, and translate complex datasets into clear insights while advancing environmental and safety objectives.