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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and maintaining enterprise AI architecture strategies, aligning AI initiatives with business objectives, and guiding investment decisions for scalable AI platforms. Proven ability to lead architecture governance, manage risks, and ensure compliance while fostering an AI architecture community.
Highest-signal resume keywords
Enterprise AI Architecture StrategyGenerative AI ExpertiseArchitecture GovernanceExecutive Communication SkillsInvestment Decision Influence
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Reference ModelsArchitecture PatternsAI Standards ManagementRisk ManagementData AnalyticsDigital TransformationEmerging Technology StrategyLarge Language ModelsAutomation FrameworksAI Operating Models
Soft Skills
Stakeholder ManagementNegotiation SkillsFacilitation SkillsPlanning SkillsPrioritization Skills
Certifications & Qualifications
Advanced Architecture CertificationsAI-Specific Certifications
Industry Keywords
Highly Regulated IndustriesInsuranceWealth ManagementBankingFinancial Services
About the role
Key responsibilities & impact- Define and maintain the enterprise AI architecture strategy
- Establish target-state AI domain architecture and multi-year roadmaps
- Create AI reference models, standards, principles, policies, and guardrails
- Align AI strategy with enterprise business, technology, and operating-model strategies
- Establish visibility into AI investments across global business units
- Identify duplication, fragmentation, risk, and technology overlap
- Drive enterprise-wide reuse and strategic consolidation of AI capabilities
- Guide investment decisions toward scalable enterprise platforms and services
- Own enterprise AI standards, approved technologies, architecture patterns, and reference architectures
- Chair and influence AI architecture governance forums
- Evolve controls governing AI deployment, autonomy, human oversight, security, risk, and compliance
- Oversee exception management and architecture decision processes
- Develop centralized AI roadmaps and coordinate activities across business groups and technology organizations
- Assess emerging technologies and define adoption strategies
- Advise executives on AI strategy and investment planning
- Communicate AI opportunities, risks, and architectural direction
- Present architecture recommendations to leadership and governance bodies
- Establish Responsible AI architecture principles and support regulatory compliance, model governance, privacy, and risk frameworks
- Partner with Risk, Security, Compliance, Legal, and Data leaders on AI governance
- Build and mentor an AI architecture community
- Develop architecture practices, methodologies, and knowledge-sharing programs
- Support Solution Architects and Domain Architects in adopting enterprise standards
- Define measures for AI investment value realization and track outcomes and adoption trends
- Evolve roadmaps based on outcomes and feedback
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field
- 10+ years of architecture leadership experience
- 5+ years leading enterprise AI, data, analytics, digital transformation, or emerging technology domains
- Proven experience defining enterprise technology strategies and roadmaps
- Experience influencing senior executives and large-scale investment decisions
- Experience within highly regulated industries, preferably insurance, wealth management, banking, or financial services
- Demonstrated experience leading enterprise-wide architecture programs and governance functions
- Deep expertise in Generative AI, Agentic AI, automation, large language models, AI platforms, orchestration frameworks, and enterprise AI operating models
- Strong understanding of architecture governance, roadmaps, standards management, risk, security, and business capability planning
- Exceptional executive communication, facilitation, negotiation, and stakeholder management skills
- Strong planning, prioritization, and governance management skills
- Ability to connect AI investments to business outcomes, productivity gains, client experience improvements, operational efficiency, and risk reduction
- Master's degree, advanced architecture certifications, and AI-specific certifications preferred or highly desirable
Benefits
Comp & perks- A competitive salary and bonus program, based on market scale
- A flexible group insurance program starting on your first day of work to meet your needs and those of your family.
- Time off that allows you to focus on the moments that matter most. 20 vacation days per year.
- Share Ownership Program with employer matching contributions
- A warm, supportive, and inclusive culture
- Hybrid work with choice and flexibility to work from the office and virtually
- Professional growth supported by empowering leaders and knowledge-sharing programs
