What are the responsibilities and job description for the Sr Data Governance Analyst in Richmond, VA position at Super Technology Solutions, Inc.?
The role emphasizes governance by design, business process improvement, stakeholder collaboration, operational accountability, and organizational adoption rather than hands-on technical development.
Key Responsibilities
Data Governance Business Analysis and Process Improvement
Analyze business processes and data management practices to identify governance gaps, risks, inefficiencies, and improvement opportunities.
Facilitate requirements elicitation, root cause analysis, and current-state and future-state process design for governance-related initiatives.
Translate governance policies, standards, business needs, and decisions into actionable business requirements, workflows, procedures, and operational controls.
Develop process maps, business requirements, SOPs, RACI matrices, and performance measures to support governance implementation and accountability.
Support process implementation, automation, adoption, and continuous improvement to establish sustainable governance practices.
Governance Facilitation and Enterprise Collaboration
Facilitate cross-functional working sessions involving data owners, stewards, business units, enterprise architecture, engineering, security, analytics, and external partners.
Facilitate complex discussions, reconcile competing priorities, evaluate alternatives, and support informed governance decisions by authorized stakeholders.
Clarify governance decision rights, responsibilities, dependencies, and required actions for implementation.
Document governance decisions, communicate requirements and outcomes to responsible teams, and coordinate follow-through to implementation.
REQUIRED SKILLS:
Demonstrated experience in senior-level business analysis, requirements elicitation, business process improvement, and complex problem-solving.
Advanced facilitation skills, including leading cross-functional working sessions, navigating competing priorities, building consensus, and driving decisions to resolution.
Proven ability to analyze, design, document, and support implementation of sustainable business processes.
Ability to interpret policies, standards, and business requirements and translate them into practical operational processes, business rules, and controls.
Working knowledge of enterprise data governance concepts, including data ownership, stewardship, access governance, data quality, compliance, and data lifecycle management.
Strong analytical, communication, stakeholder management, and organizational skills, with the ability to work independently and collaboratively.
Five or more years of experience in business analysis, requirements elicitation, process improvement, or related enterprise business functions.
Preferred Qualifications
Experience supporting enterprise data governance initiatives, including governance process implementation, data stewardship, data quality, metadata, or access governance.
Experience in government, healthcare, or another regulated environment.
Familiarity with enterprise data integration, interoperability, master and reference data management, and governed data products.
Knowledge of data governance frameworks (e.g. DAMA-DMBOK, DMMI) and process improvement methodologies (BPMN, Lean, Six Sigma).