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Data Governance Lead - AWS Platform

Canada, Toronto · Job Posted March 19, 2026
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Job Description

The Data Governance Lead will be responsible for establishing, leading, and operationalizing governance standards across the data ecosystem. This role places strong emphasis on Databricks and Unity Catalog as foundational components of the enterprise data platform. The ideal candidate will unify fragmented data sources into a consistent, well-managed, and trusted environment. This role partners closely with data engineering, platform teams, product teams, and business stakeholders to define and implement policies, frameworks, and best practices that ensure compliance, security, and high data quality across cloud and analytics platforms.

Job Responsibility

  • Develop and own the PSG enterprise data governance framework, including policies, standards, metadata strategy, and data stewardship processes
  • Lead governance initiatives across cloud and analytics platforms, prioritizing Databricks and Unity Catalog, followed by AWS data services and Dataiku
  • Define and implement catalog structures, data classification models, tagging strategies, and access control rules across multiple business domains
  • Establish metadata management, data lineage tracking, and data quality controls to improve trust, transparency, and usability
  • Drive unification of data across fragmented systems by designing scalable governance models, harmonized definitions, and reusable governance patterns
  • Partner with cross-functional teams to ensure compliance with data privacy, security, and regulatory requirements (e.g., PII, PHI, GxP, HIPAA, GDPR where applicable)
  • Oversee data access controls, entitlements, and policy enforcement across analytics and cloud environments
  • Establish governance processes for issue management, remediation, audit readiness, and continuous improvement
  • Mentor and guide data stewards while promoting adoption of governance standards across business teams
  • Support platform modernization initiatives enabling analytics, AI/ML, automation, and self-service capabilities

Requirements

  • 7+ years of experience in data governance, data management, enterprise data architecture, or related disciplines
  • 3+ years of hands-on experience with Databricks and Unity Catalog, including catalog design and structure, access policies and entitlement management, data lineage implementation, classification and tagging strategies
  • 3+ years working with AWS data services (e.g., S3, Glue, Lake Formation, Redshift, IAM)
  • 3+ years of proven experience governing data across fragmented systems, complex pipelines, and multi-cloud or hybrid environments
  • 3+ years of experience implementing metadata management, MDM strategies, and enterprise data quality frameworks
  • 3+ years of hands-on experience with governance workflows, tooling, and model management processes
  • 1+ years of demonstrated experience supporting regulatory and compliance requirements (PII, PHI, GxP, HIPAA, GDPR, etc.)

Nice to have

  • Experience with Dataiku or similar advanced analytics platforms
  • Experience supporting AI/ML governance and data enablement initiatives
  • Industry experience in regulated environments (e.g., healthcare, life sciences, financial services)
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