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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in enterprise architecture, including the development of target architectures, reference architectures, and multiyear transformation roadmaps. Proficient in aligning technology strategy with business needs and guiding AI-enabled capabilities within complex global organizations.
Highest-signal resume keywords
Enterprise Architecture StrategyTarget Architectures DevelopmentAI-Enabled Capabilities GuidanceCloud and Data IntegrationBusiness Capability Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Enterprise Architecture FrameworksArchitecture ModelingApplication Portfolio StrategyMLOpsTechnical Debt ManagementTransition ArchitectureScenario PlanningAPIs and Event-Driven SystemsInvestment Tradeoffs AnalysisGenerative AI Patterns
Soft Skills
Influence and FacilitationNegotiation SkillsDecision-Framing SkillsIntellectual CuriosityComfort with Ambiguity
Tools & Technologies
SaaS EvaluationVendor-Packaged Software IntegrationCloud PlatformsDistributed Systems ArchitectureAI Lifecycle Management
Industry Keywords
Global Organization ExperienceValue MeasurementOperating ModelsGovernanceFinancial Awareness
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Help define and operationalize the enterprise architecture operating model, principles, methods, standards, decision rights, and measures of value
- Lead architecture for major enterprise initiatives from strategy and discovery through target-state definition, transition planning, and delivery guidance
- Develop current-state assessments, target architectures, reference architectures, and multiyear roadmaps for critical enterprise capabilities and platforms
- Connect business strategy, operating models, and capability needs to technology priorities, portfolio choices, and investment decisions
- Guide simplification, reuse, interoperability, application rationalization, lifecycle management, and technical debt reduction across a complex global technology landscape
- Assess complex technology choices and recommend patterns, platforms, and strategic direction based on business value, total cost, scalability, resilience, interoperability, and long-term fit
- Define and maintain reusable architecture assets, including principles, standards, reference architectures, patterns, and decision records
- Serve on the Architecture Review Board, providing pragmatic review, constructive challenge, and clear guidance
- Partner with strategy, product, engineering, data, cloud, security, infrastructure, and business technology leaders to align domain plans with enterprise direction
- Influence portfolio planning and investment decisions by clarifying dependencies, tradeoffs, transition costs, architectural risk, and business consequences
- Coach architects and senior technologists and strengthen shared practices, reusable assets, and consistent architecture methods
- Communicate complex architecture topics clearly to executives, business leaders, architects, engineers, and delivery teams
- Set enterprise architecture direction and guardrails for AI-enabled capabilities
- Guide design of enterprise AI platforms supporting generative AI, agentic AI, machine learning, MLOps, enterprise data access, model lifecycle management, and observability at scale
- Define reusable guardrails and patterns for AI security, privacy, responsible use, data protection, identity and access, model governance, resilience, interoperability, and cost-effective scaling
- Guide evaluation and adoption of AI capabilities embedded in SaaS and vendor-packaged software
- Promote consistent AI platform capabilities and integration approaches
- Apply AI within enterprise architecture to improve knowledge retrieval, portfolio analysis, documentation, standards analysis, review preparation, and roadmap scenario modeling
- Build trusted relationships with senior business, Digital, and technology leaders; facilitate decisions and alignment across organizational boundaries
Requirements
What you’ll need- 12 or more years of progressive technology experience, including enterprise architecture experience in a large, complex, global organization
- Demonstrated experience developing target architectures, reference architectures, standards, and multiyear transformation roadmaps across multiple architecture domains
- Experience shaping enterprise technology strategy and influencing major platform, portfolio, modernization, and investment decisions without relying on direct reporting authority
- Experience partnering with platform and engineering teams on cloud, data, integration, SaaS, packaged applications, and AI-enabled capabilities
- Ability to translate business strategy and operating-model needs into practical, business-aligned technology direction
- Ability to communicate architecture recommendations and tradeoffs clearly to executives, business leaders, architects, engineers, and delivery teams
- Familiarity with established enterprise architecture frameworks and methods
- Bachelor's or graduate degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience
- Enterprise architecture strategy, operating models, principles, governance, and value measurement
- Business capability modeling, value streams, operating-model alignment, technology strategy, target-state architecture, transition architecture, roadmapping, scenario planning, and dependency analysis
- Application portfolio strategy, modernization, rationalization, lifecycle management, and technical debt
- Data, integration, APIs, event-driven systems, cloud, platform, infrastructure, and distributed-system architecture
- SaaS and vendor-packaged software evaluation, integration, extensibility, and platform fit
- Architecture modeling, reference architectures, reusable patterns, architecture decisions, and executive-level visual communication
- Financial and commercial awareness, including total cost of ownership, investment tradeoffs, and vendor considerations
- Enterprise AI platforms, generative and agentic AI patterns, MLOps, AI lifecycle management, and responsible AI guardrails
- Influence, facilitation, negotiation, and decision-framing skills across senior and highly technical audiences
- Ability to simplify complex issues, make tradeoffs transparent, and create alignment without direct authority
- Strong judgment, intellectual curiosity, learning agility, and comfort working through ambiguity
- Ability to operate effectively with global teams across functions, business units, and time zones
- Commitment to practical architecture that accelerates delivery while improving long-term enterprise outcomes
Benefits
Comp & perks- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave
- Additional opportunities for pay in the form of bonus and/or equity