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Vice President, Responsible AI
American Express. Define and lead the enterprise Responsible AI strategy, principles, guardrails, governance frameworks, and usage policies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and leading Responsible AI strategies, governance frameworks, and technical guardrails while effectively translating complex regulatory requirements into scalable enterprise capabilities. Proven ability to influence executive stakeholders and drive alignment across cross-functional teams in highly regulated environments.
Highest-signal resume keywords
Responsible AI StrategyGovernance FrameworksAI/ML InfrastructureCross-Functional LeadershipRegulatory Compliance
ATS Keywords
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Hard Skills
AI Development WorkflowsModel Lifecycle ManagementPolicy Enforcement MechanismsGovernance ModelsTechnical Solutions TranslationAI ObservabilityModel EvaluationPrompt ManagementLifecycle ManagementEnterprise Platform Scaling
Soft Skills
Exceptional CommunicationLeadership SkillsInfluencing StakeholdersCollaboration
Tools & Technologies
AI PlatformsDeveloper ToolsGovernance Platforms
Industry Keywords
NIST AI RMFISO/IEC 42001EU AI ActFinancial ServicesHighly Regulated Industry
About the role
Key responsibilities & impact- Define and lead the enterprise Responsible AI strategy, principles, guardrails, governance frameworks, and usage policies
- Develop governance models that embed responsible AI throughout the AI lifecycle
- Translate evolving AI regulations and industry standards into scalable enterprise capabilities
- Establish metrics and reporting to measure governance effectiveness and enterprise adoption
- Partner with Risk, Legal, Compliance, Privacy, and Information Security to translate governance requirements into platform capabilities
- Define technical guardrails, policy enforcement mechanisms, evaluation frameworks, and governance workflows applicable across AI use cases
- Continuously evolve platform capabilities to address emerging AI risks, technologies, and regulatory expectations
- Influence enterprise AI strategy by balancing innovation, developer experience, and responsible AI
- Partner with Product and Engineering leaders to prioritize platform investments that improve AI velocity and governance
- Represent the Responsible AI platform strategy with executive stakeholders and across the broader AI ecosystem
Requirements
What you’ll need- 12+ years of progressive leadership experience in enterprise technology, AI/ML platforms, product management, software engineering, or technology governance, with experience leading large, cross-functional organizations
- Demonstrated experience building or scaling enterprise platforms, developer tools, AI/ML infrastructure, or other shared technology capabilities
- Experience translating governance, security, privacy, or risk requirements into scalable technical solutions, platform capabilities, or engineering practices
- Strong understanding of modern AI technologies, including large language models (LLMs), foundation models, agentic AI, model lifecycle management, and AI development workflows
- Experience partnering across Product, Engineering, Information Security, Risk, Legal, Compliance, and Privacy to deliver enterprise technology solutions
- Proven ability to define strategy, influence executive stakeholders, and drive alignment across highly matrixed organizations
- Experience establishing governance frameworks, operational processes, or platform standards that enable secure, compliant, and scalable technology adoption
- Exceptional communication and leadership skills with the ability to translate complex technical, regulatory, and business requirements into actionable platform strategy
- Employment eligibility to work with American Express in the U.S. is required; visa sponsorship will not be pursued
- Preferred: experience leading a Responsible AI, AI Platform, AI Governance, Machine Learning Platform, or AI Infrastructure organization
- Preferred: experience building AI governance platform capabilities, including model evaluation, AI observability, policy enforcement, model inventories, prompt management, or lifecycle management
- Preferred: familiarity with NIST AI RMF, ISO/IEC 42001, or EU AI Act
- Preferred: experience in financial services or another highly regulated industry
- Preferred: experience influencing enterprise AI adoption through developer platforms, reusable services, and automation
- Preferred: advanced degree in Computer Science, Engineering, Data Science, Public Policy, or a related field
Benefits
Comp & perks- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
- Equity (if applicable)