Director, Data & AI Business Architecture

Gallagher•Rolling Meadows, IL

About The Position

The Director, Data & AI Business Architecture leads business data architecture for the division. Accountable for ensuring data is designed to support AI and analytics at scale. Establishes standards, models, and governance that enable consistent, reusable data across regions and business lines. Operates through a federated model with a lean central team and broad influence across delivery teams. This role enables AI by ensuring the right data foundation is in place. Through strong standards and influence across a federated model, it drives consistency, reduces rework, and allows the division to scale analytics and AI effectively.

Requirements

12–15+ years in data architecture, data modeling, or analytics.
Experience designing data for AI and advanced analytics use cases.
Strong understanding of business processes in complex organizations.
Experience operating in a federated or matrixed environment.
Proven ability to drive standards through influence.
Strong executive communication skills.

Nice To Haves

Experience in professional services, insurance, or financial services.
Experience working across global teams.
Familiarity with governance and regulatory environments.
Business data modeling and domain design
AI data readiness and standardization
Federated operating model leadership
Data governance and quality
Executive communication
Cross-functional influence

Responsibilities

Define and own business data models across the division.
Establish domains, entities, facts, and dimensions aligned to business processes.
Create a consistent semantic layer to support reporting and AI use cases.
Ensure data structures are built for AI from the start.
Define standards for feature-ready, reusable datasets.
Partner with AI and engineering teams to reduce time to deploy use cases.
Lead through influence across distributed teams in regions and business units.
Establish standards adopted by product, engineering, and analytics teams.
Drive alignment without direct control of all resources.
Set data design standards across US, EMEA, and APAC.
Balance global consistency with regional requirements.
Enable reuse of data across markets and solutions.
Align data design to key business metrics such as revenue, pipeline, utilization, and client outcomes.
Eliminate conflicting definitions across the division.
Enable consistent, trusted reporting and decision-making.
Define ownership, lineage, and quality expectations.
Establish trust levels for data used in analytics and AI.
Ensure traceability from source systems to outputs.

Benefits

Medical/dental/vision plans, which start from day one!
Life and accident insurance
401(K) and Roth options
Tax-advantaged accounts (HSA, FSA)
Educational expense reimbursement
Paid parental leave
Digital mental health services (Talkspace)
Flexible work hours (availability varies by office and job function)
Training programs
Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing
Charitable matching gift program