Data Governance & Quality Consultant
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).
Qualifications:
- 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