Sr Director Enterprise Data & AI Architecture

Northwestern Mutual•Milwaukee, WI

About The Position

The Senior Director, Enterprise Data & AI Architecture is a senior leadership role within Northwestern Mutual’s Enterprise Architecture (EA) organization. Enterprise Architecture partners with business and technology leaders to define the firm’s long-term technology direction, ensure alignment across domains, and guide the evolution of our platforms and capabilities in support of enterprise strategy. In this role, you will lead the enterprise vision and execution strategy for data, analytics, and artificial intelligence architecture, including AI/ML and generative AI. You will work across technology and business domains to advance modern, secure, and scalable data and AI capabilities while ensuring strong governance, risk alignment, and architectural integrity. This is an opportunity for a proven architecture leader to expand enterprise influence, shape critical modernization efforts, and develop senior architectural talent while helping Northwestern Mutual responsibly harness data and AI to deliver value for clients, advisors, and employees.

Requirements

15+ years of experience in enterprise architecture, data architecture, or related technology disciplines.
5+ years of experience leading architecture or technology teams in a complex, matrixed organization.
Deep expertise in modern data platforms, analytics, cloud technologies, and AI/ML including generative AI.
Strong understanding of data governance principles and practical approaches to improving governance maturity.
Proven ability to influence across organizational boundaries and drive alignment on enterprise technology direction.
Demonstrated success by translating complex technical concepts into clear, actionable guidance for senior leaders.
Strong leadership, communication, strategic thinking, and problem-solving skills.

Responsibilities

Define and evolve the enterprise data and AI target-state architecture, ensuring alignment with business strategy and enterprise technology priorities.
Establish and maintain enterprise standards, reference architectures, and architectural principles for data platforms, analytics, AI/ML, and generative AI.
Drive alignment of domain and solution architectures to enterprise direction through influence, partnership, and architectural governance.
Partner closely with Enterprise Architecture, Cybersecurity, Legal, Risk, and Compliance to ensure responsible AI adoption across the enterprise.
Define architectural guardrails, design patterns, and governance standards for AI/ML and GenAI, including data access, model usage, auditability, and reliability.
Balance innovation with risk management by enabling experimentation within clear enterprise boundaries.
Act as a trusted architecture advisor to senior technology and business leaders.
Collaborate with application, data, platform, and infrastructure architects to drive cohesive, end‑to‑end enterprise solutions.
Represent enterprise data and AI architecture in architecture reviews, investment discussions, and strategic planning forums.
Lead and develop a team of enterprise data and AI architects, setting clear priorities, expectations, and performance goals.
Coach and mentor senior architects to strengthen enterprise thinking, communication skills, and architectural judgment.
Build an inclusive, collaborative culture that encourages innovation, accountability, and continuous learning.
Provide architectural oversight to ensure delivery efforts align with enterprise standards and long-term objectives.
Guide modernization initiatives, including migration to cloud-based platforms and adoption of modern data and AI technologies.
Promote platform reuse, standardization, and data quality improvements to increase enterprise agility and scalability.