Senior Facility Data Architect & Analytics Lead

Aetos Systems; Greenbelt (MD); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salaries

Education and professional development

Healthcare packages (medical/dental)

401K

Civic Leave

Paid time off

Job summary

Aetos Systems is seeking a senior Facility Data Manager to lead governance, analytics, and reporting for NASA facilities. You will guide cross-functional teams, ensure data accuracy, and optimize asset management systems within a federal contractor context.

You will develop dashboards and KPI metrics using Power BI/Tableau, enforce data security and governance, and mentor teams in data-driven decision making at a facility-wide scale.

Qualifications

• US citizen required.
• Must pass an initial and random drug testing.
• Must reside within 50 miles of a NASA Center.
• Minimum 12 years of experience in data management, analytics, facility operations, or maintenance.
• Experience with CMMS, data analytics tools, and ETL processes.

Responsibilities

• Lead facility data governance, KPIs, and lifecycle governance.
• Architect data policies, quality assurance, and compliance frameworks.
• Oversee integration and optimization of facility management systems (e.g., CMMS).
• Provide leadership in system design, configuration, and data reporting.
• Develop advanced dashboards and reports using Power BI/Tableau/SQL.

Skills

US Citizen

Data governance

Analytical thinking

Leadership

Communication

Training

Problem solving

Education

Bachelor’s degree in Data Management or related field

Tools

CMMS

SQL

Power BI

Tableau

ETL

Excel

Job description

Aetos Systems is seeking a senior Facility Data Manager to lead governance, analytics, and reporting for NASA facilities. You will guide cross-functional teams, ensure data accuracy, and optimize asset management systems within a federal contractor context.

You will develop dashboards and KPI metrics using Power BI/Tableau, enforce data security and governance, and mentor teams in data-driven decision making at a facility-wide scale.