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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading enterprise AI platform strategies, architecture, and governance while ensuring compliance and security across technology domains. Proven ability to mentor teams and communicate complex technology strategies to diverse stakeholders.
Highest-signal resume keywords
Enterprise AI Platform StrategyArchitecture GovernanceMachine Learning ImplementationCross-Functional CollaborationRisk Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Technology ArchitecturePlatform EngineeringData ArchitectureGenerative AIAdvanced AnalyticsAI GovernanceSecurity ControlsKnowledge GraphsContext ManagementOrchestration Frameworks
Soft Skills
LeadershipMentoringCommunicationInfluencingCollaboration
Tools & Technologies
AWS BedrockOpenAIAnthropicEnterprise AI Platforms
Industry Keywords
Regulatory ComplianceRisk ManagementArchitecture StandardsTechnology GovernanceEnterprise-Scale Transformation
Tech Stack
Tools & technologiesAWSCloud
About the role
Key responsibilities & impact- Lead the strategy, architecture, and evolution of USAA's enterprise AI platform
- Define scalable, secure, and compliant AI capabilities supporting generative AI, agentic AI, machine learning, and advanced analytics
- Partner with senior business and technology leaders to establish architecture standards, governance frameworks, and platform roadmaps
- Collaborate with business and IT stakeholders to finalize strategy, requirements, measures, risks, and controls across multiple domains
- Coordinate with domain architects to create technology decisions, architecture artifacts, evolutionary strategies, and roadmaps
- Provide leadership and guidance to business executives and IT stakeholders on priorities, funding, and architecture execution
- Assess domain applications and advise executive business owners on courses of action; provide assessment summaries to the CTO for board presentation
- Define and document architecture standards, principles, and policies; evaluate and approve or reject waivers
- Support the USAA technology ecosystem, including Program Increment planning and troubleshooting Availability Command Center incidents
- Mentor experienced architects, engineers, and IT colleagues; recommend mentoring opportunities to build team redundancy and backfill capability
- Lead technical design and definition of systems, services, and dataflows across multiple domains and portfolios
- Execute architecture practices and processes, ensuring timely deliverables and sponsoring enhancements
- Maintain external relationships with industry organizations, government boards, and vendors
- Pursue external eminence through certifications, conference presentations, technical publications, open-source contributions, or patents
- Identify, measure, monitor, and control risks in accordance with risk and compliance policies
Requirements
What you’ll need- Bachelor's degree; OR 4 years of relevant education and/or experience
- 10+ years of experience in technology architecture, platform engineering, software engineering, data architecture, or related disciplines, including leadership of enterprise-scale technology transformation initiatives
- Experience defining and evolving enterprise platform strategies, reference architectures, technology standards, and multi-year roadmaps
- Experience architecting and implementing AI, machine learning, generative AI, or advanced analytics platforms, including governance, security, scalability, operationalization, and risk management
- Experience partnering across technology, product, data, risk, security, legal, and business organizations
- Deep understanding of AI applications across architecture, software development, testing, operations, platform engineering, and developer productivity workflows
- Ability to evaluate and guide enterprise investments in AI technologies using measurable business outcomes, adoption strategies, value realization metrics, and success frameworks
- Experience communicating complex technology strategies, architecture decisions, risks, and tradeoffs to technical and non-technical audiences, including executive leadership
- Ability to influence organizational AI fluency through thought leadership, education, mentoring, architecture guidance, and cross-functional collaboration
- Deep understanding of technology governance, architecture principles, security controls, regulatory considerations, and risk management in highly regulated industries
- Experience leading cross-functional architecture efforts across application, data, integration, cloud, security, and AI domains
- Experience with enterprise AI platforms such as AWS Bedrock, OpenAI, Anthropic, or equivalent foundation model ecosystems
- Experience designing and implementing enterprise agent architectures, orchestration frameworks, tool integration patterns, and autonomous workflow capabilities
- Experience designing enterprise knowledge architecture and context management capabilities, including knowledge graphs, semantic models, vector search, metadata platforms, retrieval architectures, and context engineering patterns
- Experience establishing enterprise AI governance, observability, evaluation, security, and model lifecycle management in highly regulated environments
- Must not require visa sponsorship or immigration support now or in the future
Benefits
Comp & perks- Flexible work environment
- Relocation assistance
- Pay incentives based on overall corporate and individual performance, at the discretion of the USAA Board of Directors
- Comprehensive medical, dental and vision plans
- 401(k)
- Pension
- Life insurance
- Parental benefits
- Adoption assistance
- Paid time off program with paid holidays
- 16 paid volunteer hours
- Various wellness programs
- Career path planning
- Continuing education
