Bachelor's degree in Information Management, Data Science, Library & Information Science, Computer Science, Business Administration, or related field
5-7 years of experience in data governance or related disciplines
Working knowledge of unstructured data governance concepts
Hands-on experience with enterprise content platforms such as SharePoint Online or OneDrive
Demonstrated expertise in SharePoint Online, especially for migrations from legacy systems
Familiarity with Microsoft Purview for compliance management
Exposure to data catalog or metadata management tooling such as Collibra or Informatica
Strong analytical skills and ability to communicate complex concepts effectively
Responsibilities
Lead the operationalization of governance practices for unstructured data
Ensure unstructured data is trusted and compliant for AI applications
Execute information lifecycle workflows including classification and retention
Support user adoption of Microsoft Purview for information protection
Develop and maintain metadata taxonomies and classification schemas
Act as a governance subject matter expert for SharePoint migration initiatives
Advocate for automation in tagging and classification processes
Collaborate with data teams and legal to design governance workflows
Develop training materials and provide guidance to junior analysts
Benefits
33 days of paid time off including holidays and personal days
Paid parental leave after 90 days of service
Comprehensive medical, dental & vision insurance
401(k) with company match and profit sharing
Short- and long-term disability insurance
Flexible Spending Accounts for medical expenses
Life insurance offered for employee protection
Educational assistance for career development
Personal and professional well-being support programs
Full Job Description
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, OneDrive, 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
What We're Looking For:
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, OneDrive, 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
Why Choose Security Benefit? When you join our team, you're not just getting a paycheck - you're getting a career path full of growth opportunities, plus a robust benefits package that puts your well-being first. Here's what you can expect as a full-time Security Benefit associate:
Competitive salary and annual incentive bonuses to reward your contributions.
33 days of paid time off (including PTO, holidays, Volunteer Day, and days of significance).
Paid parental leave after 90 days of service.
Comprehensive medical, dental & vision insurance.
401(k) with company match, plus Profit Sharing & Savings Plan.
Short- and Long-Term Disability Insurance to give you peace of mind.
Flexible Spending Accounts for medical and dependent care.
Life Insurance to protect your loved ones.
Educational assistance to support your career development.
Associate assistance programs for your personal and professional well-being.
Ready to Make an Impact? Apply today by visiting our career page to submit your resume. We're excited to meet you!
