Managing Director, Data Platform Engineering

The Data Platform Engineering leader is accountable for the strategy, engineering, delivery, reliability, adoption, and continuous evolution of the TIAA's enterprise data platform and its foundational capabilities.

This executive will lead a global organization of 100+ employees and strategic partners responsible for creating a secure, governed, resilient, and self-service data platform that enables enterprise and federated teams to rapidly build, operate, discover, and consume trusted data products and AI-enabled solutions. The role will oversee the platform engineering across platform solutions, data engineering tools and reliability, governance/security/privacy enablement, developer and business user experience, and AI-enabled platform engineering. The leader will establish clear capability ownership and drive the organization towards a scalable, capability and product-based platform model. Key Responsibilities and Duties

Platform Strategy & Roadmap Own the target-state architecture, engineering strategy, and multi-year roadmap for the enterprise data platform, aligning investments to business, Data, Analytics, Governance and AI priorities.

Platform Engineering & Modernization Deliver scalable, modular, cloud-native platform capabilities and reusable engineering patterns that simplify architecture, reduce duplication, accelerate data-product delivery, and enable platform as a service for federated teams.

Governance, Security, Quality & Privacy by Design

Partner with Data Governance, Cybersecurity, Privacy, Risk, and Architecture to translate enterprise policies into automated, reusable platform controls covering access, quality, metadata, lineage, classification, privacy, and policy enforcement.

Reliability & Engineering Excellence

Establish engineering standards and automation across observability, infrastructure-as-code, CI/CD, testing, release management, resiliency, incident management, performance, and repeatable platform operations.

Developer & Business Experience Drive adoption of self-service capabilities, the Enterprise Data Portal, data-product discovery, developer tooling, federation & onboarding, and common platform patterns that improve productivity and reduce friction for data producers and consumers.

AI-Enabled Engineering & Platform Innovation Apply AI and GenAI across data engineering, governance, platform operations, developer experience, and the software development lifecycle while ensuring the platform provides the trusted data, metadata, semantic context, and services required for enterprise AI at scale.

Organizational Leadership & Talent Lead and develop a high-performing global organization. Build a strong leadership bench, strengthen succession, grow critical engineering capabilities, and optimize the balance of internal talent and external partners.

Portfolio, Vendor & Platform Economics Own investment prioritization, workforce strategy, vendor partnerships, technology rationalization, and platform economics while ensuring major initiatives are delivered with appropriate cost, quality, risk, and business outcomes.

Executive Partnership & Influence Represent Data Platform Engineering in senior leadership forums, translating complex technology choices into business implications, investment decisions, risk trade-offs, and measurable enterprise outcomes.

Operations & Production Support Provides Tier 2 and Tier 3 engineering support, ensuring effective 24x7x365 support for assigned technology, including managing vendor escalations to resolve production issues and minimize business impact.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 10+ Years Required

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level 11PL

POSITION SUMMARY:

The Managing Director - Data Platform Engineering is accountable for the strategy, engineering, delivery, reliability, adoption, and continuous evolution of the TIAA's enterprise data platform and its foundational capabilities.

This executive will lead a global organization of 100+ employees and strategic partners responsible for creating a secure, governed, resilient, and self-service data platform that enables enterprise and federated teams to rapidly build, operate, discover, and consume trusted data products and AI-enabled solutions. The role will oversee the platform engineering across platform solutions, data engineering tools and reliability, governance/security/privacy enablement, developer and business user experience, and AI-enabled platform engineering. The leader will establish clear capability ownership and drive the