Senior Data Governance Analyst

• Lead operationalization of unstructured data governance across AWS-based cloud platforms, SharePoint, One Drive, and other enterprise content stores - supporting Data Owners and Stewards in classifying, sensitivity-labeling, and retention-tagging content for AI fitness, regulatory compliance, and eDiscovery readiness
• Enable trusted use of unstructured data in AI, analytics, and RAG solutions; collaborate with the Gen AI & Innovation team and enterprise Risk function to provide governance inputs into AI intake processes, risk assessments, and data asset inventories
• Execute information lifecycle workflows including classification, retention scheduling, disposition, and audit readiness across enterprise content platforms; administer legal hold placement and release under Legal's direction
• Support administration and user adoption of Microsoft Purview for sensitivity labeling and information protection across Microsoft 365 and connected platforms
• Develop and maintain metadata taxonomies, classification schemas, and controlled vocabularies for unstructured content; administer and extend enterprise data catalog coverage to include unstructured content assets
• Serve as governance SME for Security Benefit's FSx-to-SharePoint migration initiative, ensuring governance standards - site architecture, content taxonomy, sensitivity labeling, and retention controls - are designed into the platform from the ground up
• Develop and advocate for automated and AI/ML-assisted tagging and classification approaches using Microsoft Purview auto-labeling, SharePoint Syntex, and comparable platform-native capabilities to minimize manual burden on business users
• Partner with Data Owners, Stewards, Legal, Privacy, Platform Architecture, and data teams to design workflows and automation supporting unstructured data classification, retention controls, and access governance
• Develop and deliver training materials, adoption guides, and governance communications to business and technology stakeholders on unstructured data governance standards and tooling
• Mentor and provide technical guidance to IC 1/IC 2 Governance Analysts on classification, metadata, and stewardship practices

Requirements

• Bachelor's degree in Information Management, Data Science, Library & Information Science, Computer Science, Business Administration, or a related field
• 5-7 years of experience in data governance, information management, records management, data operations, or a closely related discipline
• Working knowledge of unstructured data governance concepts including metadata management, content classification, sensitivity labeling, information lifecycle management, legal hold, and records retention
• Hands-on experience with one or more enterprise content platforms:
  SharePoint Online, One Drive, Slack, or comparable cloud content repositories
• Demonstrated SharePoint Online expertise including site architecture, content types, managed metadata term stores, permission modeling, and document library governance; experience supporting SharePoint migrations from on-premises or legacy file share environments (e.g., FSx) strongly preferred
• Familiarity with Microsoft Purview (or predecessor tools: Azure Information Protection, MIP) for sensitivity labeling and compliance management; willingness to develop deep proficiency required
• Automation-first orientation: evaluates AI/ML-assisted and platform-native automation options (e.g., Purview auto-labeling, SharePoint Syntex, Power Automate) before recommending manual processes
• Exposure to data catalog or metadata management tooling (e.g., Collibra, Alation, Informatica, or similar); willingness to develop proficiency in Security Benefit's selected platform required
• Strong analytical and problem-solving skills; comfortable operating in ambiguous, fast-moving environments with competing priorities
• Strong written and verbal communication skills; proven ability to translate complex governance concepts for both technical and non-technical audiences
• Understanding of AI/ML governance concepts, including data readiness for RAG architectures, is a meaningful differentiator
• Experience in financial services or a regulated data environment preferred; familiarity with SQL, Python, or scripting for data profiling and quality validation a plus