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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in operationalizing enterprise AI strategies, including governance mechanisms and cross-functional collaboration, while ensuring alignment with regulatory requirements and business outcomes. Proven ability to lead large-scale transformation initiatives and influence stakeholders across various functions.
Highest-signal resume keywords
Enterprise AI Strategy DevelopmentCross-Functional Team LeadershipVendor and Ecosystem ManagementResponsible AI GovernanceExecutive Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Generative AIAdvanced AnalyticsIntelligent AutomationCloud-Based AI ServicesData PlatformsIntegration PatternsMeasurement FrameworksTransformation RoadmapsModel GovernanceRisk Reduction
Soft Skills
Influencing Without AuthorityStakeholder AlignmentOrganizational EngagementCollaborative CommunicationWorkshop Facilitation
Tools & Technologies
AI PlatformsData ProvidersSystem IntegratorsApproval WorkflowsAuditability Mechanisms
Certifications & Qualifications
Master's Degree in Computer ScienceMaster's Degree in Data ScienceMaster's Degree in Artificial IntelligenceMaster's Degree in EngineeringMaster's Degree in Information SystemsMaster's Degree in Business Administration
Industry Keywords
Regulatory ComplianceRisk ManagementEnterprise ArchitectureBusiness TransformationC-Suite Collaboration
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Operationalize enterprise AI strategy through roadmaps, RAI principles, and transformation priorities
- Drive cross-business alignment so AI initiatives reinforce unified enterprise direction while allowing domain-specific tailoring
- Translate AI product and platform strategy into reusable enterprise capabilities, reference patterns, and adoption plans
- Partner with Risk, Compliance, Legal, Privacy, Security, and Model Risk Management to align AI initiatives with governance requirements and regulatory expectations
- Establish and scale governance mechanisms including model inventory, approval workflows, controls, auditability, and monitoring
- Shape and prioritize high-impact AI use cases and transformation initiatives
- Implement measurement frameworks for business impact, efficiency, risk reduction, customer outcomes, and ROI
- Drive organizational engagement through outreach, workshops, and collaborative forums
- Guide large cross-functional AI programs across business and technology teams
- Identify and support breakthrough transformation initiatives to accelerate organizational readiness and adoption
- Influence stakeholders across business lines, enterprise architecture, engineering, data, operations, and risk functions
- Lead strategic AI vendor and ecosystem partnerships across hyperscalers, AI platforms, data providers, and system integrators
- Inform build-vs-buy decisions and enterprise investment trade-offs
- Ensure vendor choices align with architectural standards, responsible AI controls, and operating model requirements
Requirements
What you’ll need- 12–15 years of progressive experience spanning enterprise strategy, technology leadership, and large-scale transformation, with increasing responsibility at the executive or senior leadership level
- Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Information Systems, Business Administration, or a closely related field; PhD preferred but not required
- Demonstrated experience defining and operationalizing enterprise AI strategies, including generative AI, advanced analytics, and intelligent automation in complex, regulated environments
- Proven track record of leading AI architecture and platform decisions at scale, including cloud-based AI services, data platforms, and integration patterns
- Extensive experience partnering with C-suite leaders and business executives to translate strategy into measurable business outcomes and transformation roadmaps
- Strong background in vendor and ecosystem management, including evaluation, governance, and delivery accountability across partners
- Experience leading cross-functional teams and influencing without direct authority across business, technology, risk, compliance, privacy, and security functions
- Deep understanding of responsible AI, model governance, security, and regulatory considerations, with the ability to embed these principles into enterprise architecture and operating models
- Exceptional executive communication skills, with the ability to influence strategy, align stakeholders, and present complex technical concepts to non-technical audiences
- Ability to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies
Benefits
Comp & perks- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
- Incentive and recognition programs
- Equity stock purchase
- 401(k) contribution and pension
