Senior Facility Data & Analytics Lead

Aetos Systems; Hampton (VA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive salaries

Education and professional development

Healthcare benefit packages

401K

Civic Leave – time off to support your

Paid time off for personal leave andH

Job summary

Aetos Systems is seeking an experienced Facility Data Manager to serve as the senior SME for facility data governance across NASA’s facilities and real estate division. You will lead data governance, QA, and analytics strategies ensuring data accuracy and accessibility across maintenance systems.

You will guide cross-functional teams in system design, reporting, and data-driven decision making, with emphasis on Power BI, Tableau, and SQL-driven insights.

Qualifications

• Requires a Bachelor's degree in a related field and at least 12 years in data management, analytics, or facilities operations.
• US citizenship required; ability to pass drug testing.
• Demonstrated expertise in facility data governance, analytics, and data strategy.

Responsibilities

• Lead facility data management practices and governance across the lifecycle.
• Architect data governance, QA protocols, and compliance frameworks.
• Oversee integration and optimization of CMMS and asset management systems.
• Provide technical leadership in system design, data access, and reporting dashboards.
• Develop KPI definitions and advanced analytics in Power BI/Tableau.
• Ensure data accuracy, security, and accessibility across facilities operations.

Skills

Analytical skills

Problem solving

Communication

Leadership

Education

Bachelor’s degree in Data Management, Analytics, Information Systems, Facility Management, or related field

Tools

CMMS

Power BI

Tableau

SQL

ETL

Job description

Aetos Systems is seeking an experienced Facility Data Manager to serve as the senior SME for facility data governance across NASA’s facilities and real estate division. You will lead data governance, QA, and analytics strategies ensuring data accuracy and accessibility across maintenance systems.

You will guide cross-functional teams in system design, reporting, and data-driven decision making, with emphasis on Power BI, Tableau, and SQL-driven insights.