Senior Managing Director - Chief Enterprise Architect

Overview The Chief Architect is responsible for refining and stewarding TIAA’s Enterprise Architecture vision while providing architectural leadership across all lines of business. The role balances strategic and tactical initiatives, leading the development of standards and patterns for software tooling, modern technology design principles, AI/ML frameworks, and reference architectures. It drives improved efficiency, cost savings, innovation, strategy execution, risk and compliance management, and business agility. Key Responsibilities Enterprise Architecture Vision & Strategy: Steward and maintain the organization’s modern architecture vision, strategy, and roadmap encompassing cloud, data, and AI/ML architecture disciplines, ensuring alignment to corporate business strategy and long‑term IT goals. Enterprise AI Leadership: Define and maintain a comprehensive AI/ML architecture strategy and roadmap, guiding the responsible, scalable, and secure deployment of AI solutions, including Agentic and Generative AI technologies. Agentic AI Strategy & Governance: Provide architecture leadership for enterprise strategy on Agentic AI, establishing patterns, guardrails, governance standards, and reference architectures for autonomous, multi‑agent systems and their integration with enterprise data and services. Technology Debt Management: Own and drive the enterprise‑wide technology debt strategy, developing a taxonomy, tracking framework, remediation roadmaps, and KPIs to monitor and reduce technical liabilities. Governance & Standards: Lead the Technology Architecture Governance forum, establishing guardrails and standards for AI/ML platforms, MLOps pipelines, model serving, and compliance with target‑state architecture models. Cross‑Functional Collaboration: Coordinate with business‑facing IT, application development, and federated architecture teams to ensure architectural and AI objectives are considered and met across all lines of business. Data & AI Alignment: Collaborate with data leaders and architects to ensure AI/ML initiatives are underpinned by robust data quality, lineage, privacy, and governance standards. Innovation & Technology Evaluation: Monitor emerging technologies, including AI/ML platforms, Agentic AI frameworks, cloud‑native tools, and assess vendor solutions for architectural fit and cost efficiency. People & Culture: Motivate, develop, and mentor staff, fostering teamwork, collaboration, and a continuous learning culture while building enterprise‑wide capability in AI/ML, Agentic AI, and technology debt disciplines. Metrics & Outcomes: Maintain architectural metrics and KPIs—such as AI performance, agentic system reliability, technology debt trends, and risk indicators—and report progress to executive stakeholders. Regulatory Awareness: Track evolving AI regulations, industry standards, and competitive landscape developments to keep enterprise AI and Agentic architecture strategies current and compliant. Technology Articulation: Articulate technology and AI solutions clearly, explaining competitive advantages and trade‑offs of architectural and technology alternatives to business and technology stakeholders. Required Qualifications 10+ years of progressive experience in technology and architecture roles, with at least 5 years in a senior or principal architect capacity at an enterprise‑scale organization. Demonstrated experience designing and governing enterprise architectures across cloud, data, application, and AI/ML domains. Experience developing and executing technology debt remediation strategies, including quantification, prioritization, and executive reporting. Familiarity with AI/ML platforms, MLOps toolchains, and governance of production AI systems including model lifecycle management and explainability. Familiarity with Agentic AI frameworks and autonomous system design principles, including multi‑agent orchestration, tool integration, and safety guardrails. Experience operating within highly regulated industries such as financial services, insurance, or healthcare, with a strong understanding of risk, compliance, and data governance requirements. Proven ability to engage and influence C‑suite and senior business stakeholders, translating complex architectural concepts into business outcomes and investment decisions. Preferred Qualifications 15+ years of progressive experience in technology and architecture roles, with at least 5 years in a senior or principal architect capacity at an enterprise‑scale organization. Experience leading architecture functions within financial services, wealth management, or retirement services organizations. Hands‑on experience with enterprise Agentic AI platforms such as LangGraph, AutoGen, CrewAI, or Microsoft Copilot Studio. Familiarity with responsible AI frameworks, including AI fairness, transparency, and accountability standards. Experience in leading large‑scale technology modernization, cloud migration, or platform transformation programs. Experience with architecture governance tools and enterprise architecture frameworks such as TOGAF, Zachman, or SAFe. Background in FinOps or technology cost optimization in cloud‑native environments. A university degree in Computer Science, Information Technology, Engineering, or a related field is preferred; advanced degrees (MBA, MS in Computer Science) are a plus. Relevant professional certifications are advantageous, including AWS, Azure, or GCP Solutions Architect, TOGAF, or AI/ML‑specific credentials. Skills & Competencies Deep technical fluency across cloud platforms (AWS, Azure, or GCP), microservices, APIs, data architecture, and AI/ML infrastructure. Strong understanding of software engineering principles, including design patterns, DevSecOps, and CI/CD pipelines as related to managing and preventing technical debt. Excellent communication, storytelling, and executive presentation skills. Strong organizational leadership with experience building, mentoring, and scaling high‑performing architecture teams. Collaborative mindset with the ability to navigate matrixed organizations and drive consensus across diverse stakeholder groups. Equal Opportunity We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status. Accessibility Support TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities. If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team: Phone: View phone number on click.appcast.io Email: View email address on click.appcast.io #J-18808-Ljbffr Teachers Insurance and Annuity Association of America