Senior Managing Director - Chief Enterprise Architect

Chief Architect at TIAA is responsible for refining and stewarding the enterprise architecture vision while providing architectural leadership across all lines of business. The role balances strategic and tactical initiatives and leads the development of standards and patterns for software tooling, modern technology design principles, AI/ML frameworks, and reference architectures. It drives efficiency and cost savings, fosters innovation, manages risk and compliance, and increases business agility. Key Responsibilities and Duties Strengthen and maintain a centralized enterprise architecture practice and related processes, directly linked to federated architecture teams. Coordinate with business-facing IT and application development to ensure architectural objectives are being considered and met. Collaborate with other architects to define and maintain the enterprise blueprint for corporate architecture strategy and ensure integration between business units. Provide overall direction, guidance, and definition of IT architecture to effectively support the corporate business strategy. Steward and maintain the organization's overall modern architecture vision, strategy, and roadmap. Act as a strategic enabler and champion for enterprise architecture and design principles. Review and direct IT strategy ensuring alignment to business outcomes, fostering a culture of collaboration, development, and innovation. Motivate and develop staff, fostering teamwork and collaboration. Create an environment that promotes continuous learning and improvement. Monitor external evolving technologies that will impact IT and the business and ensure adequate plans are in place to assure readiness. Evaluate emerging technologies and identify opportunities to incorporate them into the organization's architecture. Evaluate emerging Enterprise AI capabilities and provide guidance for responsible, scalable, and secure deployment of AI solutions, including Agentic AI and Generative AI technologies. Maintain architectural metrics and KPIs and promote outcomes and results to the organization and senior leadership. Lead review board and ensure solutions are compliant with target-state architecture models. Articulate technology solutions and explain the competitive advantages of various technology alternatives. Maintain architecture tools and repositories and manage the technology adoption workflow. Develop long-term strategies and roadmaps in all architecture disciplines to meet IT and related business goals and identify risk scenarios and mitigation plans. 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 AI and Generative AI technologies. Provide architecture leadership to enterprise strategy for Agentic AI – encompassing autonomous, multi-agent, and orchestrated AI systems capable of executing complex, multi-step tasks with minimal human intervention. Define architectural patterns and guardrails for deploying AI agents, including agent orchestration frameworks, tool-use protocols, memory management, and human-in-the-loop checkpoints. Establish governance standards for agent lifecycle management, including agent versioning, observability, auditability, and rollback capabilities. Evaluate and select enterprise-grade Agentic AI platforms and frameworks, assessing them for security, scalability, and alignment with risk posture. Partner with Risk, Compliance, and Legal teams to define boundaries of autonomous agent action, ensuring responsible AI principles are embedded into every deployment. Build reference architectures for agentic workflows, integrating enterprise data sources, APIs, and internal systems while enforcing data privacy and access control standards. Drive enterprise AI literacy and upskilling initiatives to prepare architecture and engineering teams for the shift to agentic paradigms. Technology Debt Management Own and drive the enterprise-wide technology debt strategy, ensuring that accumulated technical liabilities are systematically identified, prioritized, and remediated. Establish a formal technology debt taxonomy and tracking framework, enabling transparent visibility into debt categories such as architectural debt, code debt, infrastructure debt, security debt, and data debt across all lines of business. Partner with engineering and product teams to quantify the business impact, integrating debt remediation into annual planning and investment prioritization cycles. Develop and enforce architectural standards and design principles that prevent the introduction of new technology debt, including mandatory architecture review gates for major initiatives. Lead the creation of technology debt remediation roadmaps aligned with modernization initiatives, cloud migration efforts, and application rationalization programs. Advocate at the senior leadership level for dedicated investment and capacity allocation toward tech debt reduction, articulating the risk exposure and opportunity cost of deferred remediation. Establish KPIs and metrics to track technology debt trends over time, reporting progress to executive stakeholders. Governance & Standards Lead the Technology Architecture Governance forum, establishing guardrails and standards for AI/ML platforms, MLOps pipelines, model serving, Agentic AI infrastructure, and Generative AI tooling. Ensure all solutions are compliant 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 team leaders and data architects to ensure AI/ML initiatives – including agentic workloads – 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 open-source frameworks – identifying opportunities to incorporate them into the architecture and assessing vendor solutions for fit and cost efficiency. People & Culture Motivate and develop staff, fostering teamwork, collaboration, and a culture of continuous learning. Mentor architecture teams on AI/ML, Agentic AI concepts, and technology debt disciplines to build enterprise-wide capability and innovation culture. Metrics & Outcomes Maintain architectural metrics and KPIs – including AI performance, agentic system reliability, technology debt trends, and risk indicators – and promote outcomes and results to the organization and senior leadership. 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 the competitive advantages of various architectural and technology alternatives to business and technology stakeholders. Educational Requirements University degree (preferred). 10+ years required experience with 5+ years in a senior or principal architect capacity at an enterprise-scale organization. Required Qualifications 10+ years of progressive experience in technology and architecture roles. 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, monitoring, 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. 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, Microsoft Copilot Studio, or equivalent. Familiarity with responsible AI frameworks, including AI fairness, transparency, and accountability standards. Experience 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. University degree in Computer Science, Information Technology, Engineering, or a related field (preferred). Advanced degrees such as MBA or MS in Computer Science are a plus. Relevant professional certifications, including AWS, Azure, 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 they relate 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. Proficiency in application programming interface development and integration, automation, communication, consultative communication, containerization, DevOps, enterprise application integration, group problem solving, influence, organizational savviness, prototyping, relationship management, scalability, reliability, software development life cycle, systems design, and analysis. Compensation and Details Anticipated Posting End Date: 2026-06-27 Base Pay Range: $224,000/yr - $320,000/yr (actual base salary may vary). Benefits The organization offers a comprehensive Total Rewards package including a superior retirement program, health and wellness offerings, and work life balance opportunities that support the best physical, emotional, and financial well-being of associates and their loved ones. Equal Opportunity TIAA is an Equal Opportunity Employer. We do not discriminate on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, or gender identity. EEO & Non-Discrimination statements are available on the careers home page. #J-18808-Ljbffr Nuveen