Director, Enterprise Data and AI Architecture
Core
Define technical direction for data and AI across the organization, shape multi-year architecture strategy, and partner with executives to align technology investment with business priorities.
Role type
Director, Enterprise Data and AI Architecture
Builds
Enterprise reference architectures, multi-year technology roadmaps, governed data flows, and production-grade AI/ML solutions
Domain
Industrial technology / Modern Data & AI
Deliverable
production ML models
Required skills
Enterprise architecture strategy, AI/ML solution design, M&A data integration, data governance, executive stakeholder management, team leadership, MDM, data integration patterns, responsible AI frameworks
Preferred skills
M&A data integration, major platform consolidations, executive stakeholder management in matrixed organizations
Technologies
Snowflake, dbt, Matillion, Informatica, AWS, NIST AI Risk Management Framework
Responsibilities
Own enterprise data and AI reference architecture and multi-year roadmap; Set technical strategy and architectural principles for modern data stack and AI; Lead architecture governance and define standards; Advise executive leadership on build versus buy and technology investment; Lead end-to-end architecture design for enterprise data solutions; Architect master data management (MDM) solutions; Define and maintain architecture decision records; Own vendor relationships and technical roadmaps; Lead complex data projects from discovery through production; Engage in M&A integration projects; Manage multiple concurrent initiatives; Design and implement data integration patterns; Define architecture for AI and machine learning; Architect analytics and semantic layer; Build trusted relationships with executive stakeholders; Lead and develop a technical team
Seniority
Director, strategic leadership with hands-on design
