Job DescriptionEnterprise Architect
Location: Hybrid (3 days onsite, 2 days remote)
About the Role
We are seeking an experienced
Enterprise Architect to help shape the future-state technology landscape of a large, complex enterprise. In this strategic consulting role, you will align business priorities with technology investments, define enterprise architecture standards and roadmaps, and establish architectural guardrails that drive consistency, scalability, and innovation.
You will work closely with business and technology leaders to guide modernization initiatives, cloud transformation, data strategy, AI adoption, and technology governance across the enterprise.
What You'll DoEnterprise Strategy & Capability Alignment
- Partner with business and IT leaders to define enterprise technology strategy and multi-year roadmaps.
- Align technology investments with business capabilities, operating models, and strategic priorities.
- Identify opportunities to modernize, simplify, and optimize enterprise platforms and applications.
- Guide enterprise-level build, buy, rationalization, and modernization decisions.
- Evaluate emerging technologies and their business impact.
Target-State Architecture & Standards
- Define and maintain enterprise target-state architectures and transition roadmaps.
- Establish architecture principles, standards, reference architectures, and reusable patterns.
- Drive alignment across cloud, hybrid infrastructure, integration, data, analytics, AI, and automation platforms.
- Promote consistency, scalability, interoperability, and technology reuse across the enterprise.
- Provide architectural guidance and guardrails for delivery and solution teams.
AI, Data & Emerging Technology Strategy
- Support enterprise AI and GenAI strategy, architecture patterns, and adoption frameworks.
- Guide architecture for shared AI services, knowledge platforms, analytics, and automation capabilities.
- Promote responsible AI practices, including governance, security, privacy, explainability, and auditability.
- Evaluate and prioritize AI and GenAI opportunities from a business value and portfolio perspective.
- Prevent fragmented or duplicative technology solutions across business units.
Architecture Governance
- Participate in Architecture Review Boards and enterprise governance forums.
- Ensure adherence to enterprise standards, roadmaps, and technology strategies.
- Define and evolve architecture governance processes, technology standards, and risk management practices.
- Support technology lifecycle management, modernization planning, and obsolescence strategies.
- Influence stakeholders through data-driven recommendations and structured trade-off analysis.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- 10+ years of experience in enterprise architecture, technology strategy, or architecture leadership roles.
- Proven experience developing enterprise technology roadmaps, target-state architectures, and architecture standards.
- Deep understanding of cloud platforms, enterprise integration, data architecture, and modernization strategies.
- Experience leading enterprise-wide architecture governance and technology decision-making.
- Strong executive communication, stakeholder management, and consulting skills.
- Experience aligning technology initiatives with business capabilities and strategic objectives.
Preferred Qualifications
- Experience supporting enterprise AI, GenAI, machine learning, or advanced analytics initiatives.
- TOGAF, Zachman, or equivalent enterprise architecture certification.
- Experience in highly regulated industries such as healthcare, financial services, or government.
- Knowledge of responsible AI, governance, privacy, and security frameworks.
- Experience with digital transformation, cloud migration, and large-scale modernization programs.
- Master's degree in a related discipline.
What You'll Deliver
- Enterprise architecture strategy and roadmaps.
- Target-state architecture and transition plans.
- Enterprise technology standards and architectural guardrails.
- Cloud, data, integration, and AI reference architectures.
- Technology governance frameworks and review processes.
- Modernization and rationalization recommendations.
- Enterprise AI and GenAI adoption guidance.
