Senior Data Governance Analyst
About the role
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.
Responsibilities
- 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
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, OneDrive, Slack, or comparable cloud content repositories
- 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
Qualifications
- Experience in financial services or a regulated data environment preferred
- Familiarity with SQL, Python, or scripting for data profiling and quality validation a plus
Skills
- Strong analytical and problem-solving skills
- Strong written and verbal communication skills
- Understanding of AI/ML governance concepts
- Experience in financial services or a regulated data environment
- Familiarity with SQL, Python, or scripting for data profiling and quality validation
Benefits
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.
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.
Pay
Competitive salary and annual incentive bonuses to reward your contributions.
Schedule
Full-time position available.