Remote Governance & Enterprise Systems Analyst

Eliassen Group; Dover (DE); Remote; USD 72,000 - 85,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401(k) with company matching

Life insurance

Job summary

Eliassen Group is seeking a Business System Analyst (Governance) to work remotely, collaborating with Enterprise Architecture, Engineering, Security, Risk, and Compliance teams. The role focuses on architectural hygiene, resiliency, and maintainability while guiding technology governance across enterprise platforms.

The position emphasizes evaluating complex architectures, ensuring standards, and driving improvements in data quality and operational efficiency.

Qualifications

• Bachelor's Degree and 6+ years of analytics, governance, or enterprise technology experience.
• Experience partnering with Solution Architects, Enterprise Architects, Engineering, Infrastructure, and Security teams.
• Banking or financial services technology experience preferred.

Responsibilities

• Partner with EA and Engineering teams to evaluate current and target architectures for alignment with technology direction.
• Analyze architectures, interfaces, data flows, and dependencies to identify risks and improvements.
• Develop governance artifacts and ensure adherence to standards, security, and risk frameworks.

Skills

Enterprise Architecture

Governance

Architecture reviews

Stakeholder collaboration

Risk management

Technical governance

Systems integration

Education

Bachelor's Degree in a related field

High School Diploma or GED with 10 years of experience

Tools

Power BI

Job description

Eliassen Group is seeking a Business System Analyst (Governance) to work remotely, collaborating with Enterprise Architecture, Engineering, Security, Risk, and Compliance teams. The role focuses on architectural hygiene, resiliency, and maintainability while guiding technology governance across enterprise platforms.

The position emphasizes evaluating complex architectures, ensuring standards, and driving improvements in data quality and operational efficiency.