Managing Director - Agentic AI Adoption & Integration

AI/Emerging Technology Executive
The Emerging Technology Executive will specialize in Agentic AI and is expected to flex and expand to the emerging space of Generative Artificial Intelligence (Generative AI). This role will be the technology facing member of the AI Center of Excellence team who will transition TIAA into a Agentic AI hybrid workforce era.
Key Responsibilities and Duties

• Develop and execute a comprehensive Agentic AI strategy aligned with business objectives
• Drive the full lifecycle of AI products from research to production deployment
• Partner with product, engineering, and business teams to identify high-impact AI opportunities
• Establish best practices for model development, evaluation, monitoring, and governance
• Build scalable AI infrastructure and deployment pipelines
• Stay ahead of emerging AI technologies and incorporate them into our roadmap
• Advocate for responsible AI practices and ethical standards

Educational Requirements

• University (Degree) Preferred

Work Experience

• 10+ Years Required

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
11PL

We are seeking a Managing Director, Agentic AI Adoption & Integration to drive enterprise-wide adoption of AI agents, with a special focus on strategic partnerships with key vendor ecosystems. This leader will act as the central point of accountability for assessing and operationalizing agent technologies at scale across the organization. Reporting directly to the Head of AI, this role requires a rare combination of strategic vision, technical depth, operational rigor, and cross-business influence.

This leader will define the framework for evaluating the “why, what, and how” of adopting new agents within our agentic AI platform, build streamlined assessment processes to ensure reliability, and guide integration into our business and technology ecosystems to generate measurable enterprise value.

KEY RESPONSIBILITIES:

Strategic AI Leadership

• Partner with the Head of AI to translate enterprise AI strategy into a structured adoption roadmap for agentic AI solutions.
• Identify opportunities for vendor partner agents that align with business priorities and operational needs.
• Define and develop assessment framework for agile agent adoption with utility, ROI, and risk evaluation in mind.

Vendor Partner Ecosystem Management

• Build and maintain deep relationships with leading cloud, AI, and agent technology providers.
• Establish enterprise-level assessment and validation standards for third-party and co-developed agents.
• Ensure partner solutions align with enterprise architecture, technology, and compliance standards.

Enterprise Integration & Operations

• Lead cross-functional programs with business, functions, and technology leaders to streamline the assessment and adoption of agents into workflows, platforms, and customer-facing channels.
• Oversee partnership and adoption process of vendor agents.
• Champion operational readiness, resilience, and scalability of agent assessment and adoption.

Change Leadership & Adoption

• Drive awareness, education, and adoption across internal stakeholders and business functions.
• Develop enterprise-wide playbooks and best practices for agent review and adoption.

Required Qualifications:  

• 10+ years of progressive leadership in technology, AI/ML, and/or cloud-enabled transformation.
• Solid foundation in cloud architectures (AWS, Azure, GCP), AI/ML platforms, and modern application ecosystems.
• Experience in operational excellence, scaling enterprise technology, and embedding governance and risk management.
• Experience evaluating, adopting, and scaling emerging AI capabilities in large, complex organizations.
• Deep understanding of AI agents, LLMs, orchestration frameworks, and monitoring/ops.
• Experience driving cross-business value creation through AI technology adoption.

Preferred Qualifications:  

• Exceptional executive presence, communication, and relationship-building with both technical and business stakeholders.
• Demonstrated ability to lead through influence across a matrix organization.
• A forward-leaning mindset toward innovation, with a pragmatic ability to deliver measurable outcomes.

Related Skills

Business Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics

Anticipated Posting End Date:

2025-09-02

Base Pay Range: $240,000/yr - $325,000/yr

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location.  In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans). 

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Company Overview

Every worker deserves a secure retirement. For more than 100 years, TIAA has delivered it for millions of people. Founded to help educators retire with dignity, today weʼre a market-leading retirement company fueled by world-class asset management. But weʼre not just another legacy financial services firm. Weʼre fighting harder than ever before for our clients and the many Americans who need us.

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The organization is committed to making financial well-being possible for its clients, and is equally committed to the well-being of our associates. That’s why we offer a comprehensive Total Rewards package designed to make a positive difference in the lives of our associates and their loved ones. Our benefits include a superior retirement program and highly competitive health, wellness and work life offerings that can help you achieve and maintain your best possible physical, emotional and financial well-being. To learn more about your benefits, please review our Benefits Summary.

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