Senior Business Analyst Data Governance

Machine Learning Technologies, LLC; Richmond (VA); On-site; USD 95,000 - 125,000; Full time

Job summary

Machine Learning Technologies, LLC seeks an experienced Senior Business Analyst to support enterprise data governance initiatives by improving business processes, strengthening data quality, and translating governance policies into practical workflows in Virginia. The role emphasizes requirements elicitation, process design, and collaboration with data owners, stewards, and technical teams.

The candidate will document SOPs, RACI matrices, and performance measures, and drive continuous

Qualifications

• Strong experience in senior-level business analysis, requirements elicitation, and process improvement.
• Excellent stakeholder management, facilitation, communication, and analytical skills.
• Working knowledge of enterprise data governance, data ownership, data stewardship, data quality, and compliance.
• Experience documenting business requirements, business processes, workflows, and operational procedures.

Responsibilities

• Analyze business processes to identify gaps, risks, inefficiencies, and improvement opportunities.
• Lead requirements gathering, root cause analysis, and current-state/future-state process design.
• Develop business requirements, process maps, SOPs, RACI matrices, and performance measures.
• Facilitate cross-functional discussions with data owners, data stewards, business teams, and technical stakeholders.
• Support data governance policies, data quality improvement, access governance, and data-sharing initiatives.
• Translate governance policies and standards into actionable workflows, operational controls, and sustainable processes.
• Drive stakeholder alignment, decision-making, implementation, and continuous improvement.

Skills

Senior-level business analysis

Requirements elicitation

Process improvement

Stakeholder facilitation

Data governance knowledge

Analytical skills

Documentation

Job description

We are seeking an experienced Senior Business Analyst to support enterprise data governance initiatives by improving business processes, strengthening data quality, and translating governance policies into practical operational workflows. The ideal candidate will have strong business analysis, requirements gathering, process improvement, and stakeholder facilitation skills, along with a working knowledge of enterprise data governance principles.

Key Responsibilities:

Analyze business processes to identify gaps, risks, inefficiencies, and improvement opportunities.

Lead requirements gathering, root cause analysis, and current-state/future-state process design.

Develop business requirements, process maps, standard operating procedures (SOPs), RACI matrices, and performance measures.

Facilitate cross-functional discussions with data owners, data stewards, business teams, and technical stakeholders.

Support data governance policies, data quality improvement, access governance, and data-sharing initiatives.

Translate governance policies and standards into actionable workflows, operational controls, and sustainable processes.

Drive stakeholder alignment, decision-making, implementation, and continuous improvement.

Required Qualifications:

Strong experience in senior-level business analysis, requirements elicitation, and process improvement.

Excellent stakeholder management, facilitation, communication, and analytical skills.

Working knowledge of enterprise data governance, data ownership, data stewardship, data quality, and compliance.

Experience documenting business requirements, business processes, workflows, and operational procedures.

Preferred Qualifications:

Experience in government, healthcare, or other regulated environments.

Familiarity with data governance frameworks such as DAMA-DMBOK or DCAM.

Knowledge of data integration, master data management, and enterprise data management.

Familiarity with AWS, Snowflake, Commonwealth of Virginia/VITA standards, or relevant certifications such as CDMP.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.