Senior Manager, AI Standards & Responsible Governance

Charles Schwab; Omaha (NE); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Charles Schwab in Omaha, NE seeks a Senior Manager, AI Standards, Controls & Responsible AI to build governance foundations that scale end-user AI responsibly in Operations. You’ll shape standards, reporting, decision frameworks, and routines enabling transparent, sustainable AI governance across leaders and functions.

Key focus areas include defining AI guardrails, translating policy into guidance, building intake and issue-management processes, and cross‑functional collaboration with Risk,

Competenze

• AI governance knowledge and responsible AI principles.
• Risk evaluation of AI use cases and control designs.
• Translate legal, regulatory, policy requirements into actionable guidance.
• Develop inventories, reporting, and management information.
• Simplify workflows while maintaining controls.

Mansioni

• Design and operationalize AI standards, guardrails, lifecycle requirements, and accountability models for end-user AI across Operations.
• Translate enterprise policies and control requirements into clear guidance and playbooks.
• Create scalable intake, review, approval, documentation, inventory, and issue-management processes.
• Build governance reporting and visibility on AI use cases, ownership, activity, risk, and control gaps.
• Develop risk-assessment frameworks for AI use cases including incomplete information or emerging risks.
• Establish governance forums, escalation paths, and remediation practices across functions.

Conoscenze

AI governance

Risk assessment

Policy interpretation

Analytics & reporting

Process improvement

Stakeholder management

Communication

Strategic thinking

Descrizione del lavoro

Charles Schwab in Omaha, NE seeks a Senior Manager, AI Standards, Controls & Responsible AI to build governance foundations that scale end-user AI responsibly in Operations. You’ll shape standards, reporting, decision frameworks, and routines enabling transparent, sustainable AI governance across leaders and functions.

Key focus areas include defining AI guardrails, translating policy into guidance, building intake and issue-management processes, and cross‑functional collaboration with Risk,