Data Quality and Governance Lead in Newtown Square, PA

Position

Data Quality and Governance Lead — Newtown Square, PA (Hybrid: 1–2 days onsite)

12+ months contract

• Attend meetings as the primary point of contact for the Collibra Data Intelligence Cloud, managing the Business Glossary, Data Catalog, and Lineage. Own enterprise data governance and data quality execution across the full data lifecycle.
• Assess quality rules and scorecards for quality rules.
• Assess user experience of quality scorecards; strategically facilitate and create the KPIs to measure the data quality program (consistency, timeliness, etc.). Design screens for overall management.
• Serve as primary Collibra administrator for catalog, glossary, lineage, stewardship, and quality workflows.
• Lead governance councils and stewardship forums; translate quality findings into business actions.
• Establish and enforce data usage, privacy, and regulatory compliance standards.
• Drive adoption of governance and quality practices across IT and business teams.

• 10+ years in strategic oversight of data quality, data governance, or data management within healthcare environments (payer preferred).
• Extensive experience in Data Governance for strategic oversight.
• Hybrid role between data governance and data quality; strategic, not hands-on execution — define what quality dashboards should look like.
• 3+ years hands-on experience with Collibra
  
  DQ (preferred) or OwlDQ or Informatica
  
  DQ.
• Strong focus on data quality; rule creation, dashboards, and workflows.
• Catalog and governance knowledge; understand capabilities, how scorecards are produced, thresholds, and guide the team to utilize them strategically.
• Strong healthcare domain expertise (claims, eligibility, provider/NPI data).
• Advanced SQL skills as needed (experience from 4–5 years ago is acceptable if you can navigate current systems).
• High-level experience with ETL/ELT architectures.
• Ability to communicate complex data issues to non-technical and executive stakeholders.

• Hands-on experience with Azure Data Services, Databricks (Spark, Delta Lake), and DQ tooling.
• Experience building automated DQ rules, dashboards, and observability metrics.
• Data visualization using Power BI or Tableau.
• Canonical data modeling and legacy/vendor data reconciliation.
• Strong documentation, problem solving, and cross-functional facilitation skills.
• Bachelor’s degree or equivalent practical experience.

This role is geared toward a strategic leader rather than a hands-on individual contributor. The ideal candidate will translate business discussions, findings, and risks into actionable plans while driving alignment and execution across executive stakeholders.

• Develop enterprise data quality strategy.
• Convert meeting outcomes into measurable action plans and deliverables.
• Influence and communicate effectively with executive leadership.
• Ensure compliance with organizational policies, standards, and controls.
• Drive continuous improvement initiatives and resolve process roadblocks.
• Manage technical delivery while leveraging data quality metrics and scorecards to measure success.

Note:

Data Governance experience is helpful, but the primary emphasis is on Data Quality leadership, strategic planning, stakeholder management, and execution. This position is suited for a Technical Delivery Manager who can establish a long-term vision and guide teams toward achieving it.