Enterprise Data Quality & Systems Governance Analyst

Jobtailor

Alexandria (VA)

On-site

USD 95,000 - 130,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Jobtailor in Alexandria, VA is seeking a Data Quality & Operations Specialist to monitor data quality across CRM, ERP, data warehouse, and related platforms. You will maintain health scorecards, identify anomalies, and enforce governance policies, ensuring authoritative sources and accountability across teams.

You will collaborate with IT and business stakeholders to document data lineage, validate integrations, and report on system health.

Qualifications

Bachelor’s degree in information systems, business analytics, data management, computer science, or a related field.
Minimum 3 years of experience in data quality, data operations, systems administration, integration monitoring, or a closely related discipline.
Demonstrated experience monitoring and validating data across multiple enterprise systems simultaneously.
Working knowledge of CRM, AMS, ERP, data warehouse, and integration platform concepts and architectures.
Ability to read and interpret integration payloads, API documentation, ETL mapping documents, and data flow diagrams.
Experience producing data quality metrics, scorecards, or health reporting for operational and leadership audiences.
Clear written and verbal communication skills across technical, operational, and executive audiences.
Experience in HubSpot, Salesforce, Microsoft Dynamics or other cloud-based CRM administration and/or data management.
Familiarity with AMS platforms or comparable association management systems.
Exposure to data warehouse environments including Snowflake, Datadog, Databricks, Microsoft Fabric, Azure Synapse, or Power BI or other open-source semantic models.
Experience with iPaaS platforms such as MuleSoft, Boomi, Workato, n8n, Azure, or other open-source Integration Services.
Background in or exposure to data governance frameworks such as DAMA, DMBOK, DCAM or other data foundation and management layers — not as a designer but as an operator.
Experience working inside an active system implementation or enterprise architecture build-out.
Familiarity with SQL or equivalent query tools sufficient to validate data and investigate anomalies independently.
Exposure to Unix, Linux, or open-source tooling in a data operations or systems administration context.

Responsibilities

Monitor data quality, completeness, consistency, and accuracy across enterprise systems.
Maintain a data health scorecard by system and domain.
Identify anomalies, duplicates, and integration failures across platforms.
Enforce data standards and governance policies.
Flag non-compliant data and failed integrations.
Maintain the system-of-record registry with authoritative sources.
Track accountability matrix for data quality by system owner.
Quantify ownership gaps and lack of stewards.
Monitor integration health across iPaaS, API, ETL, and data pipelines.
Validate data written by integrations lands in the correct system.
Identify transformation errors and mapping drift.
Participate in design reviews to embed governance before go-live.
Coordinate with partners during incident resolution.
Review data mappings and acceptance criteria for compliance.
Deliver recurring data integrity status reports.
Translate data quality findings into plain-language summaries.