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TIAA

Senior Managing Director – Chief Enterprise Architect

TIAA

Chief 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

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Applicant Tracking System Keywords

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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 & technologies
Cloud

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