Data Governance Lead - AWS Platform - REMOTE

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. 7+ years of experience in data governance, data management, enterprise data architecture, or related disciplines. * 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.). 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).