Senior Data Governance & Process Lead

Robotics Technologies LLC; Richmond (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

Robotics Technologies LLC in the United States seeks an experienced Senior Business Analyst to support enterprise data governance initiatives by improving processes, ensuring data quality, and translating governance policies into actionable workflows.

The role emphasizes requirements gathering, stakeholder facilitation, and cross-functional collaboration with data owners, stewards, and technical teams to enable compliant, efficient operations.

Qualifications

• Senior-level business analysis experience with requirements elicitation.
• 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, processes, workflows, and SOPs.

Responsibilities

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

Skills

Senior BA

Requirements elicitation

Process improvement

Stakeholder facilitation

Communication

Data governance knowledge

Tools

RACI matrices

SOP documentation

Job description

Robotics Technologies LLC in the United States seeks an experienced Senior Business Analyst to support enterprise data governance initiatives by improving processes, ensuring data quality, and translating governance policies into actionable workflows.

The role emphasizes requirements gathering, stakeholder facilitation, and cross-functional collaboration with data owners, stewards, and technical teams to enable compliant, efficient operations.