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Senior Managing Director – Chief Enterprise Architect
TIAAChief Architect leading enterprise architecture and design principles at TIAA. Driving efficiency, cost savings, and responsible AI adoption across the organization.
Posted 6/23/2026full-timeNew York City • New Jersey, New York, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $224,000 - $320,000 per yearWebsite
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 architecturecloud architecturedata architectureapplication architectureAI/ML architectureMLOpstechnology debt strategyemerging technologies evaluationstandards development for software toolingcompliance with architecture models
Soft Skills
leadershipcollaborationinfluencestakeholder engagementstrategic visioncost savingsefficiency drivinggovernancecommunicationproblem-solving
Tools & Technologies
AI/ML platformsAgentic AI frameworksautonomous systems designproduction AI systems governancesoftware toolingcloud servicesdata management toolsapplication development toolsarchitecture modeling toolsenterprise blueprint tools
Industry Keywords
financial servicesinsurancehealthcareregulated industriestechnology architectureenterprise governancecloud computingdata governanceapplication governanceAI governance
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Refine and steward enterprise architecture vision
- Lead development of standards for software tooling
- Collaborate with architects to maintain enterprise blueprint
- Drive efficiency and cost savings
- Evaluate emerging technologies for architectural integration
- Own and drive the enterprise-wide technology debt strategy
- Ensure solutions are compliant with target-state architecture models
Requirements
What you’ll need- 10+ years of progressive experience in technology and architecture roles
- 5+ years in a senior or principal architect capacity
- Experience designing and governing enterprise architectures across cloud, data, application, and AI/ML domains
- Familiarity with AI/ML platforms, MLOps toolchains, and governance of production AI systems
- Familiarity with Agentic AI frameworks and autonomous system design principles
- Experience in highly regulated industries such as financial services, insurance, or healthcare
- Proven ability to engage and influence C-suite and senior business stakeholders
Benefits
Comp & perks- Health insurance
- 401(k) retirement plan
- Paid time off
- Flexible work arrangements
- Professional development opportunities