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Senior Infrastructure Engineering Manager – AI
Wells FargoInfrastructure Engineering Senior Manager overseeing governance and compliance controls for Microsoft AI ecosystem at Wells Fargo. Bridging security, privacy, legal, and risk functions to enable safe AI adoption.
Posted 6/12/2026full-timeMinneapolis • Minnesota, Texas • 🇺🇸 United StatesSenior💰 $153,000 - $239,000 per yearWebsite
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Define and maintain the AI governance operating model spanning M365 Copilot, Copilot Studio (custom agents/copilots), Copilot Cowork, and third-party/internal AI solutions.
- Establish guardrails, approval workflows, and risk-tiering for AI use cases, agent publishing, and grounding-data access.
- Translate evolving AI regulations (EU AI Act, NIST AI RMF, sector-specific banking/financial guidance) and internal policy into enforceable technical controls.
- Own configuration and lifecycle management of the Microsoft Purview suite as the primary compliance control plane: Data Loss Prevention (DLP) — including Copilot-aware policies, Information Protection — sensitivity labels, encryption, and label-based access enforcement, Insider Risk Management, Communication Compliance, Audit (Standard/Premium) and unified audit logging for Copilot interactions, Compliance Manager — assessments, improvement actions, and control scoring.
- Implement and operate Data Security Posture Management (DSPM) for AI to monitor AI/Copilot usage, risky prompts, oversharing, and sensitive-data exposure.
- Manage adjacent compliance tooling: Microsoft Defender for Cloud Apps, Entra ID Conditional Access and entitlement/access reviews, SharePoint Advanced Management (restricted content discovery, access controls), and Microsoft Priva for privacy risk and subject-rights management.
- Design the enterprise sensitivity-label taxonomy and auto-classification model (trainable classifiers, exact data match, sensitive information types).
- Ensure classification drives Copilot grounding boundaries so AI responses respect least-privilege and need-to-know.
- Remediate oversharing and "data sprawl" that exposes content to Copilot semantic indexing.
- Define and enforce retention and deletion policies and labels across M365 workloads, including Copilot prompts, responses, and agent transcripts.
- Govern records management, disposition review, and defensible deletion in alignment with legal and regulatory retention schedules.
- Operate Microsoft Purview eDiscovery (Premium) and legal hold processes, ensuring Copilot interactions and AI-generated content are discoverable, preservable, and exportable for litigation and regulatory requests.
- Partner with Legal on holds, custodian management, search, and review workflows.
- Lead a team of infrastructure and compliance engineers; set technical direction, standards, and automation (PowerShell, Graph API, Microsoft Graph Data Connect, Sentinel/Logic Apps for control automation).
- Build monitoring, alerting, and reporting dashboards for AI governance KPIs and audit readiness.
- Drive incident response for AI/data compliance events and remediation.
- Serve as the primary technical liaison to Risk, Privacy, Legal, Security, and Audit on all AI governance matters.
- Produce executive-level reporting on AI compliance posture, control effectiveness, and regulatory readiness.
Requirements
What you’ll need- 7+ years of Infrastructure Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years of management or leadership experience
- 8+ years in infrastructure/security engineering, with 3+ years in a leadership or management capacity.
- Deep, hands-on expertise with Microsoft Purview (Information Protection, DLP, Audit, eDiscovery, Records Management, Compliance Manager).
- Demonstrated experience governing Microsoft 365 Copilot and/or Copilot Studio deployments, including data-access, grounding, and oversharing controls.
- Strong working knowledge of DSPM for AI, Microsoft Priva, Entra ID, and Defender for Cloud Apps.
- Expertise in data classification, retention/records management, and eDiscovery/legal-hold operations.
- Familiarity with AI/data regulatory frameworks (EU AI Act, NIST AI RMF, GDPR/CCPA, and financial-services data regulations).
- Proven ability to automate controls via PowerShell and Microsoft Graph.
- Experience in a regulated industry (financial services, healthcare).
- Background in AI risk management, model governance, or responsible-AI program delivery.
- Experience in AI governance and responsible-AI judgment.
- Experience in regulatory and compliance acumen.
- Experience in technical leadership and team development.
- Experience in cross-functional stakeholder influence.
- Experience in risk-based decision making.
Benefits
Comp & perks- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
ATS Keywords
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Hard Skills & Tools
Infrastructure EngineeringMicrosoft PurviewData Loss Prevention (DLP)Information ProtectioneDiscoveryRecords ManagementCompliance ManagerData Security Posture Management (DSPM)PowerShellMicrosoft Graph
Soft Skills
LeadershipTeam DevelopmentCross-functional Stakeholder InfluenceRisk-based Decision MakingTechnical DirectionAutomationIncident ResponseCommunicationExecutive ReportingGovernance