Senior Data Governance - Unstructured Data & AI Steward

Jobtailor; Kansas; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor in the United States seeks a senior data governance specialist to lead unstructured data governance across AWS cloud, SharePoint, OneDrive, and enterprise content stores. You will classify, label, and retention-tag content for AI fitness and regulatory compliance, supporting data owners and stewards.

You will enable trusted AI/Analytics use, collaborate with risk and legal teams on data assets, and implement lifecycle workflows including legal holds and audit readiness.

Qualifications

• Bachelor's degree in Information Management, Data Science, Library & Information Science, Computer Science, or related field.
• 5-7 years of experience in data governance, information management, records management, or related discipline.
• 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 enterprise content platforms: SharePoint Online, OneDrive, Slack, or comparable cloud content repositories.
• SharePoint Online expertise including site architecture, content types, managed metadata term stores, permission modeling, and document library governance; migration support experience preferred.
• Familiarity with Microsoft Purview (or predecessors) for sensitivity labeling and compliance management; willingness to develop deep proficiency.
• Automation-first orientation: evaluates AI/ML-assisted and platform-native automation options before manual processes.
• Exposure to data catalog or metadata tooling (e.g., Collibra, Alation, Informatica) and willingness to develop proficiency in Security Benefit's platform.
• Strong analytical and communication skills; ability to translate governance concepts for technical and non-technical audiences.
• Experience in financial services or regulated data environment preferred; SQL/Python scripting a plus.

Responsibilities

• Lead operationalization of unstructured data governance across AWS cloud, SharePoint, OneDrive, and enterprise content stores.
• Support Data Owners and Stewards in classifying, sensitivity-labeling, and retention-tagging content for AI fitness and regulatory compliance.
• Enable trusted use of unstructured data in AI analytics and RAG solutions; collaborate with Gen AI & Innovation and risk teams.
• Execute information lifecycle workflows: classification, retention scheduling, disposition, and audit readiness; administer legal holds.
• Support administration and user adoption of Microsoft Purview for sensitivity labeling and information protection.
• Develop and maintain metadata taxonomies and controlled vocabularies; extend data catalog coverage to unstructured content assets.
• Serve as governance SME for platform migrations (e.g., FSx to SharePoint), ensuring governance standards are built-in.
• Advocate automated tagging/classification using Purview auto-labeling, SharePoint Syntex, and Power Automate.
• Partner with stakeholders to design workflows and automation for classification, retention controls, and access governance.
• Develop training materials, adoption guides, and governance communications for business and technology stakeholders.
• Mentor junior governance analysts on classification, metadata, and stewardship practices.

Skills

Data governance

SharePoint Online

Metadata management

AI readiness

Stakeholder collaboration

Information governance

Education

Bachelor's degree in Information Management or related

Tools

SharePoint Online

OneDrive

Microsoft Purview

Power Automate

Collibra

Alation

Job description

Jobtailor in the United States seeks a senior data governance specialist to lead unstructured data governance across AWS cloud, SharePoint, OneDrive, and enterprise content stores. You will classify, label, and retention-tag content for AI fitness and regulatory compliance, supporting data owners and stewards.

You will enable trusted AI/Analytics use, collaborate with risk and legal teams on data assets, and implement lifecycle workflows including legal holds and audit readiness.