Senior Managing Director - Head of Enterprise Data

Key Responsibilities and Duties

• Lead a team of technologists supporting the data infrastructure across the business
• Provide technology leadership as well as domain and data expertise
• Lead the overall data vision and strategy while also ensuring the business' data strategy fits holistically with the enterprise
• Own the data lifecycle from sourcing of data, contracts and vendor management, data integrity and governance as well as data infrastructure and engineering
• Perform analysis and evaluation of new data sources, products, and solutions used
• Provide technical leadership to business partners to guide an informed decision-making process and successfully execute projects on time and on budget
• Interact with and drive other IT teams as required to leverage enterprise services and server as an advocate for the business
• Manages performance of teams through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and development of teams.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 10+ Years Required

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
12PL

About This Role 

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 we are a market-leading retirement company fueled by world-class asset management. We are not just another legacy financial services firm — we are fighting harder than ever before for our clients and the many Americans who need us. 

This Senior Managing Director (SMD), Head of Data is a foundational enterprise leadership role within TIAA's Data Office, reporting directly to the Chief Data and AI Officer. This leader will own the vision, strategy, and execution of TIAA's enterprise data function spanning data product development, architecture and governance, business partnership, and data infrastructure. This is not a project management or reporting function. The SMD sits at the intersection of Data Engineering, Enterprise Data Architecture, Enterprise Data Governance, and business domain expertise, and is accountable for the end-to-end lifecycle of Data Products from intake and design through delivery, certification, and ongoing operations. 

This leader will build a portfolio of durable enterprise data products that become the system of record for analytics, reporting, and future AI use cases across TIAA. These products are designed to be reusable across functions, scalable across domains, and governed by design reducing duplication, improving trust, and accelerating decision-making enterprise-wide. 

This role leads domain-aligned data product teams and partners closely with the CTO and CIO organizations to ensure data products are built on scalable patterns, shared infrastructure, and enterprise standards. By establishing strong product ownership, technical rigor, and operational discipline, this leader ensures TIAA's data assets evolve from one-off deliverables into long-lived, business-ready products that support growth, efficiency, and innovation across the enterprise. 

Strategic Accountability (What Success Looks Like) 

Data Product Excellence: Own a portfolio of enterprise-grade data products that serve as trusted, reusable assets across TIAA's business domains enabling consistent analytics, reporting, and decision-making at scale. Deliver measurable improvements in data product adoption, quality, and business impact. 

Enterprise Data Governance: Build and enforce the enterprise data management framework including standards, policies, data lifecycle management, and certification processes ensuring data quality, security, and trustworthiness across the organization. 

Business Impact & Alignment: Partner closely with business lines including Marketing, Finance, Product, and Retirement Solutions to translate business needs into scalable data product designs that directly influence strategy, growth, and operational efficiency. 

Technology & Infrastructure Leadership: Define data standards and align with CTO/CIO teams to improve data accessibility, infrastructure scalability, and analytical usability — ensuring TIAA's data platform evolves in concert with enterprise technology priorities. 

Analytical Rigor & Experimentation: Own company-wide metric definitions, experimentation standards, and analytics prioritization — driving clarity, consistency, and accountability in decision-making at the exe