Data Policy Systems Engineer

Markon

About The Position

Markon is seeking a Systems Engineer with Data Policy and Governance experience to support enterprise data stewardship initiatives across the IC community. This role blends systems engineering, data governance, and policy implementation to ensure responsible, compliant, and effective use of data. This position requires a critical thinker who can translate policy into action, improve governance effectiveness, and leverage Artificial Intelligence (AI) and Machine Learning (ML) to enhance compliance and data management practices

Requirements

Active TS/SCI with Polygraph
Bachelor’s degree in a STEM field or related discipline
Knowledge of Identity and Access Management (IdAM) / Identity, Credential, and Access Management (ICAM) delivery systems
Experience with Authentication, Authorization, and Attribute Architectures
Familiarity with data governance principles, compliance frameworks, and metadata management
Strong critical thinking skills with the ability to balance technical solutions and policy/compliance requirements
Excellent written and verbal communication skills, with the ability to convey technical insights to policy and Sponsor stakeholders

Nice To Haves

Experience with governance and metadata platforms (e.g., Collibra, Informatica, Alation)
Awareness of Multi-Factor Authentication (MFA) policy and experience contributing to security policy updates
Hands-on experience with automation solutions
Experience applying AI/ML in governance, compliance, or data quality environments

Responsibilities

Translate governance policies into operational processes and technical solutions, providing clear guidance to Data Stewards and stakeholders
Collaborate with Data Stewards, Steward Representatives, and the broader IC community to analyze and optimize data attributes, metadata, and repository certifications
Support Certified Data Repository (CDR) processes and promote strong attribute-level governance practices
Develop predictive models and statistical analyses to monitor compliance, data quality, and stewardship outcomes
Apply AI and machine learning techniques to automate governance workflows (e.g., anomaly detection, classification, policy adherence monitoring)
Create and maintain governance metrics, dashboards, and reporting frameworks to track performance and compliance
Partner with cross-functional teams to ensure certified data assets meet standards for accuracy, consistency, accessibility, and policy alignment
Recommend and implement process improvements and technical solutions that enhance governance efficiency and effectiveness