Data Governance and Quality Consultant

Employvision Inc.
Broomall, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Broomall, United States of America

Tech stack

Computing Platforms
Cloud Computing
Profiling
Data Governance
ETL
Data Profiling
Data Visualization
Data Intelligence
Metadata Standards
Power BI
Tableau
Technical Data Management Systems
Azure
Sql Optimization
Spark
Data Strategy
Data Lake
Collibra
Data Management
Data Pipelines
Databricks

Job description

We are seeking a highly analytical and process-driven Data Governance & quality consultant to spearhead the integrity and usability of our enterprise data assets. This is a hybrid role that demands a unique blend of technical data profiling expertise and strategic policy oversight.

The ideal candidate will be a Collibra power user who views data governance not just as a set of rules, but as a technical framework for ensuring "high-fidelity" data across the organization. You will be responsible for the end-to-end data lifecycle-from defining metadata standards to building automated quality dashboards and leading our Stewardship/quality ceremonies.

Job Functions:

Data Governance Strategy

  • Collibra Stewardship: Act as the primary administrator for the Collibra Data Intelligence Cloud, managing the Business Glossary, Data Catalog, and Lineage.
  • Council facilitator: Facilitate the Data Governance Council meetings, translating technical DQ findings into actionable business decisions for executive stakeholders.
  • Policy & Ethics: Draft and enforce data usage policies, ensuring compliance with relevant regulations (GDPR, HIPAA, etc.) and internal risk management standards.
  • Change Management: Act as a diplomat between IT and Business units to foster a "quality-first" data culture.

Data Quality Strategy

  • DQ Automation: Design and implement automated data quality rules and monitoring within the Collibra Data Quality & Observability module.
  • Profiling & Remediation: Conduct deep-dive data profiling to identify anomalies, duplicates, and inconsistencies. Work directly with technical teams to resolve root-cause issues in data pipelines.
  • Metric Development: Establish and track DQ KPIs (Accuracy, Completeness, Consistency, Timeliness, Validity, and Uniqueness) for critical data domains.
  • Standardization: Manage the reconciliation of legacy data into standardized canonical models, ensuring vendor and internal data alignment (e.g., NPI or provider data reconciliation).

Requirements

  • Experience: 10+ years in Data Management, Data Quality, or Data Governance - healthcare industry is a must.
  • Platform Expertise: 4+ years of hands-on experience with Collibra (Data Catalog & Governance, and Data Quality/OwlDQ).
  • Experience in healthcare payer domain (claims, eligibility, provider data, etc.).
  • Familiarity with data governance, compliance, and security standards in healthcare.
  • Technical Toolkit: Advanced SQL skills are mandatory. Experience with data visualization tools (Tableau, Power BI) and a solid understanding of ETL/ELT architecture

Hands-on experience with:

  • Collibra Data Quality (rule creation, workflows, dashboards) or any other DQ tools
  • Azure Data Services (Data Lake, Data Factory)
  • Databricks (Spark, Delta Lake, notebooks)
  • Communication: Ability to explain complex technical data issues to non-technical stakeholders and influence senior leadership.
  • Strong documentation, communication, and problem?solving skills.
  • Bachelor's degree or equivalent experience

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