Senior Data Governance Analyst

We're Looking for an experienced Senior Data Governance Analyst — Unstructured Data & AI Readiness!

Security Benefit is a leader in the U.S. retirement market with more than $60 billion in assets under management. We offer opportunities to thrive, innovate, and make an impact. As part of our team, you’ll play a key role in driving the future of the U.S. retirement industry. Security Benefit is a PLACE where we promise to help our customers To and Through Retirement®.

We’re proud to have been recognized as one of the best in the business:

• Named to Ward’s 50 list of top-performing life-health insurance companies
• Recognized on list of Ingram’s Top 100 Private Companies in the Kansas City area in 2024

As a Senior Data Governance Analyst — Unstructured Data & AI Readiness you will serve as a recognized subject matter expert on Security Benefit’s Data Governance team, owning the operationalization of governance practices for unstructured content — including documents, email, collaboration platforms, and cloud repositories. You will ensure enterprise information is trusted, compliant, and optimized for AI and Retrieval-Augmented Generation (RAG) use cases, while driving Information Lifecycle Management (ILM) program execution across the organization.

This role sits at the intersection of traditional records and retention governance and next-generation AI readiness, making it a critical enabler of Security Benefit’s data strategy and its $60 billion asset management mission.

This role reports to the AVP, Data Strategy & Enablement and sits within the Data Governance chapter, providing governance services and standards across Agile Product Teams. It can be performed remotely or in a hybrid capacity from our Topeka or Overland Park, Kansas offices.

• 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

• 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…