Wells Fargo

Financial Services

InfrastructureEngineeringSeniorManager-AI

$153–239k Minneapolis, Minnesota, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Infrastructure Engineering Senior Manager - AI at Wells Fargo. Skills: AI Governance, Microsoft Purview, Compliance. Lead design, implementation, oversight. Own control framework”

Industry & Context.

Financial Services
Problems you'll solve

Risk-based decision making

What They're Looking For.

Must Have

7+ years Infrastructure Engineering experience, 3+ years management or leadership experience

Nice to Have

8+ years infrastructure/security engineering, 3+ years leadership or management capacity, Deep, hands-on expertise Microsoft Purview, Governing Microsoft 365 Copilot, Governing Copilot Studio deployments, Working knowledge DSPM for AI, Working knowledge Microsoft Priva, Working knowledge Entra ID, Working knowledge Defender for Cloud Apps, Expertise data classification, Expertise retention/records management, Expertise eDiscovery/legal-hold operations, Familiarity AI/data regulatory frameworks, Proven ability automate controls, Experience regulated industry, Background AI risk management, Background model governance, Background responsible-AI program delivery, Experience AI governance, Experience responsible-AI judgment, Experience regulatory and compliance acumen, Experience technical leadership, Experience team development, Experience cross-functional stakeholder influence, Experience risk-based decision making

What You'll Do.

Own control framework

Ensure AI deployment safety

Bridge infrastructure

Bridge legal and risk functions

Define AI governance operating model

Translate regulations into controls

Translate internal policy into controls

Own Purview configuration

Implement DSPM for AI

Monitor AI/Copilot usage

Manage adjacent compliance tooling

Design sensitivity-label taxonomy

Design auto-classification model

Ensure classification drives grounding

Remediate oversharing

Remediate data sprawl

Define retention policies

Enforce retention policies

Govern records management

Govern disposition review

Govern defensible deletion

Operate eDiscovery processes

Operate legal hold processes

Ensure AI content discoverable

Ensure AI content preservable

Ensure AI content exportable

Partner with Legal on holds

Set technical direction

Set automation strategy

Build monitoring dashboards

Build alerting dashboards

Build reporting dashboards

Drive incident response

Serve as technical liaison

Produce executive-level reporting

How You'll Work.

Team & Collaboration

Cross-functional teams; Stakeholder influence

Communication Scope

Executive reporting

Full Job Description

**About this role:** The Infrastructure Engineering Senior Manager — AI Governance & Compliance leads the design, implementation, and operational oversight of governance and compliance controls across the enterprise's Microsoft AI ecosystem. This role owns the control framework that ensures Microsoft 365, Microsoft 365 Copilot, Copilot Studio, Copilot Cowork, and other generative-AI solutions are deployed and operated in line with regulatory obligations, internal risk appetite, and data-protection standards. The manager bridges infrastructure engineering, security, privacy, legal, and risk functions to make AI adoption safe, auditable, and scalable. ****In this role, you will:**** * 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. **Microsoft Purview & Compliance Tooling** * 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 r

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