Data Governance Analyst (CDC Funded)

Ampcus Inc; Richmond (VA); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Ampcus Inc. is seeking a Data Governance Analyst to support the enterprise Data Governance Program in a hybrid role based in Richmond, VA. You will collaborate with Data Owners, Stewards, and IT teams to establish governance practices for data across the organization.

The role emphasizes metadata management, data quality, and data lineage in an AWS/Snowflake environment, with a focus on enterprise data assets and AI-ready data governance.

Qualifications

• Minimum 10 years of experience in Data Governance, Data Management, Data Quality, or related fields.
• Experience implementing or supporting enterprise Data Governance programs.
• Strong SQL skills for data analysis, profiling, reconciliation, and validation.
• Experience documenting metadata, glossaries, data dictionaries, and governance artifacts.
• Excellent written and verbal communication skills.

Responsibilities

• Support the Enterprise Data Governance Program and its ongoing maturity.
• Facilitate governance workshops with business and technical stakeholders.
• Onboard new applications and data sources into governance processes.
• Define and document governance policies, standards, and procedures.
• Develop dashboards, metrics, and governance reports.

Skills

SQL

Data Governance

Data Management

Data Quality

Metadata Management

Business Analysis

Data Profiling

Data Validation

Communication

Analytical Thinking

Tools

Amazon Web Services

Snowflake

Python

SQL

Power BI

SharePoint

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Data Governance Analyst (CDC Funded)

Location(s): Richmond, VA

(Hybrid)

Job Overview

We are seeking an experienced Data Governance Analyst to support the implementation and advancement of an enterprise Data Governance Program. The analyst will work closely with Data Owners, Data Stewards, Business Owners, Enterprise Architecture, Data Engineers, Project Teams, and Information Security to establish trusted, governed enterprise data that supports both operational and analytical use cases.

This role will focus on governance activities for enterprise data ingested into an AWS-based data platform and consumed through Snowflake. The successful candidate will help establish governance processes, metadata standards, business rules, data quality standards, data lineage, and stewardship practices while supporting the organization's growing enterprise data platform.

Key Responsibilities

Data Governance

• Support implementation and ongoing maturity of the Enterprise Data Governance Program.
• Facilitate data governance workshops with business and technical stakeholders.
• Support onboarding of new applications and data sources into the governance program.
• Partner with Data Owners and Data Stewards to establish governance for new enterprise datasets.
• Develop and maintain data governance policies, standards, procedures, and supporting documentation.
• Translate business requirements into practical governance processes and artifacts.

Metadata Management

• Capture and maintain business metadata and technical metadata.
• Develop and maintain business glossaries, data dictionaries, and metadata repositories.
• Define and document Critical Data Elements (CDEs).
• Map business metadata to corresponding technical metadata.
• Support metadata ingestion and maintenance within enterprise data catalog or metadata management platforms.

Data Quality

• Define business-oriented data quality rules and standards.
• Perform and support data profiling, validation, reconciliation, and analysis.
• Monitor data quality metrics, trends, and exceptions.
• Work with Data Stewards and technical teams to identify data quality issues and support remediation planning.
• Perform cross-system reconciliation and validation of enterprise data.

Data Lineage & Architecture

• Document business and technical data lineage.
• Document end-to-end data flows across source and target systems.
• Assist with impact analysis for new data sources, systems, and data changes.
• Support governance activities across Bronze, Silver, Gold, Operational Data Store (ODS), and Analytical Data Store (ADS) layers.
• Collaborate with Enterprise Architecture and Data Engineering teams to ensure governance requirements are incorporated into data architecture.

Enterprise Data Platform

• Collaborate with Data Engineers supporting Python-based AWS data pipelines.
• Support governance of enterprise datasets published to Snowflake.
• Assist with proof-of-concept initiatives that consolidate data from multiple source systems into governed enterprise data assets.
• Support Information Lifecycle Management (ILM), data classification, retention, and internal data-sharing processes.
• Help ensure enterprise data is appropriately governed for operational, analytical, and emerging AI use cases.

Reporting & Communication

• Develop governance dashboards, metrics, and performance reports.
• Prepare executive presentations and data governance reports.
• Present findings and recommendations to governance committees, project teams, and business stakeholders.
• Clearly communicate governance requirements to both technical and non-technical audiences.

Required Qualifications

• Minimum 10 years of experience in Data Governance, Data Management, Data Quality, Business Analysis, Metadata Management, or a related discipline.
• Demonstrated experience implementing or supporting enterprise Data Governance programs.
• Experience facilitating data governance workshops with business and technical stakeholders.
• Strong SQL skills for data analysis, profiling, reconciliation, and validation.
• Experience documenting metadata, business glossaries, data dictionaries, and governance artifacts.
• Experience defining business rules and Critical Data Elements (CDEs).
• Experience performing data profiling, reconciliation, and data validation.
• Excellent written and verbal communication skills.
• Strong analytical, organizational, and problem-solving abilities.

Preferred Technical Experience

Experience with several of the following technologies and platforms is highly desirable:

• Amazon Web Services (AWS)
• Amazon S3
• AWS Glue
• AWS Glue Data Catalog
• AWS Lake Formation
• Snowflake
• Python
• SQL
• Power BI
• SharePoint

Preferred Domain Experience

Experience in one or more of the following environments is strongly preferred:

• Healthcare
• Behavioral Health
• Medicaid
• State government
• Public-sector data programs
• Highly regulated data environments

Desired Knowledge

• Enterprise Data Governance
• Data Stewardship
• Metadata Management
• Data Catalogs
• Data Quality Management
• Master Data Management (MDM)
• Business Glossaries
• Critical Data Elements (CDEs)
• Data Classification
• Data Lineage
• Information Lifecycle Management (ILM)
• Cloud Data Platforms
• Operational Data Stores (ODS)
• Data Warehousing
• Analytical Data Stores (ADS)
• AI-ready Data Governance

Desired Characteristics

• Strong facilitation and stakeholder-management skills.
• Excellent analytical and problem-solving abilities.
• Outstanding written and verbal communication.
• Highly organized and detail-oriented.
• Self-motivated and collaborative.
• Ability to work effectively with both business and technical teams.
• Ability to translate complex business requirements into clear governance artifacts and processes.
• Strong understanding of enterprise data management principles.
• Passion for improving enterprise data quality, trust, and governance.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.