Data Governance Specialist

<h2><b>Career Category</b></h2>Information Systems<h2></h2><h2><b>Job Description</b></h2><p><b>Responsibilities</b></p><ul><li>Drive governance adoption: Operationalize the data governance operating model (ownership, stewardship, decision rights/RACI) and embed governance into day-to-day delivery across domains and platforms.</li><li>Implement policies and standards: Ensure enterprise governance and data handling standards are consistently applied across data hubs/platforms, including delivery “gates” and compliance processes.</li><li>Own metadata and catalog outcomes: Establish and enforce metadata standards (business glossary, CDEs, ownership, certification) to improve discoverability, reuse, and trust.</li><li>Lead data quality management: Define DQ rules/thresholds, enable monitoring, and run an end-to-end issue management process from triage through remediation and prevention.</li><li>Enable lineage and control readiness: Coordinate lineage/traceability for critical data products and support audit readiness through documentation, evidence, and reporting.</li><li>Embed privacy-by-design (flavor): Partner with Privacy/Security to incorporate classification, access, retention, and secure handling requirements into governance processes and track remediation.</li><li>Collaborate and enable stakeholders: Facilitate alignment across Legal, Security, Engineering, Analytics, and business teams; deliver training and awareness.</li><li>Report and document: Maintain governance playbooks and produce metrics on adoption, compliance, DQ health, and stewardship engagement.</li></ul><div></div><p><b>Qualifications</b></p><ul><li>Bachelor’s or Master’s degree in Information Systems, Computer Science, Data/Information Management, or a related field (or equivalent experience).</li><li><b>8&#43; years</b> of experience in <b>Data Governance, Data Management, Data Quality, Data Risk/Controls</b>, with at least some exposure to <b>data privacy</b> practices.</li><li>Strong understanding of governance concepts: <b>ownership, stewardship, CDEs, business glossary, metadata, lineage, DQ management, data lifecycle controls</b>.</li><li>Working knowledge of privacy and security fundamentals: <b>data classification, access controls, retention, secure handling</b>, and common privacy regulations (e.g., GDPR/CCPA concepts).</li><li>Experience partnering with data platform teams and operating in enterprise environments (multi-domain, multi-platform).</li><li>Excellent communication, facilitation, and stakeholder management skills; able to influence without authority.</li><li>Analytical and detail-oriented; strong problem-solving and process design mindset.</li></ul><div></div><p><b>Preferred Skills</b></p><ul><li>Exposure to governance and catalog tools such as <b>Collibra, Alation, Informatica Axon/EDC, Microsoft Purview</b> (or equivalent).</li><li>Experience with modern data platforms (e.g., <b>Snowflake, Databricks, Azure/AWS/GCP</b>) and data product operating models.</li><li>Familiarity with frameworks/standards: <b>DAMA-DMBOK, DCAM, COBIT</b> (or comparable).</li><li>Certifications: <b>CDMP</b> (governance/data management), and/or <b>CIPP</b> (privacy) or equivalent is a plus</li><li>Experience in <b>life sciences / healthcare / regulated environments</b> is a plus.</li></ul><div></div><p><b>Level 5 Expectations (Scope &amp; Impact)</b></p><ul><li>Independently drives governance initiatives across <b>multiple domains or platforms</b>, resolving ambiguity and proposing pragmatic solutions.</li><li>Leads cross-functional working sessions and influences senior stakeholders on standards, operating model decisions, and remediation priorities.</li><li>Demonstrates measurable outcomes through adoption metrics and control effectiveness (not just documentation).</li><li>Acts as a key connector between Data Governance and Data Privacy—ensuring privacy controls are embedded into governed data products.</li></ul><p></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>.