Director, Data Governance, Quality and Enablement

Key Responsibilities

• Develop and execute the IT data governance roadmap aligned to enterprise strategy and business priorities.
• Establish technical governance standards and controls across the enterprise data platform.
• Implement scalable governance capabilities for data classification, ownership, metadata, lineage, quality, access, and lifecycle management.
• Operationalize Data Owner and Data Steward responsibilities.
• Embed governance and quality directly into data pipelines and data products.
• Translate enterprise policies/regulatory requirements/business expectations into practical technology standards and controls.
• Establish the enterprise technology framework for data quality and data observability.
• Define reusable patterns for profiling, validation, monitoring, reconciliation, and exception management.
• Embed automated quality controls into pipelines; implement quality gates across ingestion, transformation, and publication.
• Implement monitoring/scorecards for critical data products and Critical Data Elements; drive root-cause analysis and remediation.
• Lead metadata, catalog, and lineage implementation; establish metadata standards across systems and data products.
• Enable automated lineage from source to consumption.
• Establish standards for certified enterprise data products (ownership, metadata, lineage, quality, security classification, documentation, SLAs, lifecycle).
• Enable governed self-service (standards, templates, playbooks, documentation, communities of practice).
• Partner to implement compliance/technology controls (classification, access, retention, auditability, evidence for audits; scalable controls).
• Establish an AI-ready data foundation (quality, metadata, lineage, ownership, security, business context; governed access for AI).

• Own the multi-year Data Governance, Quality & Enablement roadmap; mature governance capability.
• Lead employees/partners/vendors; drive automation of controls; set KPIs; communicate data trust/risk/maturity; balance speed, scalability, compliance, and control.

• 10+ years progressive experience (data governance/management/quality), including 5+ years leadership building/scaling enterprise data governance.
• Experience operationalizing enterprise/federated governance frameworks (ownership, stewardship, policies, standards, decision rights, operating model).
• Strong knowledge of data quality, metadata management, cataloging, lineage, data classification, data products, semantic models; embedding controls into modern platforms.
• Knowledge of governance/control frameworks (e.g., DAMA-DMBOK, DCAM, NIST) and translating into scalable practices.
• Experience with SOX/financial reporting controls; understanding lineage, access controls, change management, integrity, auditability, evidence.
• Highly regulated pharma/biotech/life sciences experience preferred;
  GxP and data integrity knowledge highly desirable.
• Understanding privacy/security/retention/data protection; experience partnering with security, privacy, IT compliance, internal audit, finance.
• 5+ years administering enterprise data catalog/governance platforms (Alation or comparable: Microsoft Purview, Collibra, Informatica).
• Cloud/data governance/analytics tech experience (Microsoft Fabric, Microsoft Purview, Alation, Power BI, Azure preferred).
• Agile experience with JIRA/Confluence.

• Full-time employees are eligible for base pay, bonus, equity, flexible paid time off, medical/dental/vision, life/disability insurance, and 401(k) (traditional/Roth/match), plus additional voluntary benefits and Employee Assistance Program mental health benefits.