Director, Enterprise Data and AI Architecture
Core
Define technical direction for data and AI to create value across the organization, shaping multi-year architecture strategy and enabling enterprise reference architectures.
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 manufacturing / Electrical solutions / Modern Data & AI
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Enterprise architecture strategy, modern data stack design, AI/ML solution architecture, M&A data integration, executive stakeholder management, technical team leadership, data governance, MDM design, streaming/batch integration patterns, responsible AI frameworks.
Preferred skills
M&A data integration and major platform consolidations, hands-on experience with generative AI patterns.
Technologies
Snowflake, dbt, Matillion, Informatica, AWS, NIST AI Risk Management Framework
Responsibilities
Own enterprise data and AI reference architecture and multi-year technology roadmap; Set technical strategy and architectural principles for the modern data stack and AI; Lead architecture governance, defining standards, patterns, and decision authority; Advise executive leadership on build versus buy, platform strategies, and technology investment decisions; Lead end-to-end architecture design for enterprise data solutions spanning ingestion, integration, storage, modeling, and consumption layers; Lead and develop a technical team, setting clear expectations, providing ongoing coaching, and supporting career growth.
Seniority
Director, strategic leadership with hands-on architectural design