IT Director, Data & AI Architecture
$149,300–$298,700 year
On-siteChicago, Illinois, United States or Waukegan, Illinois, United States
Job Summary
Define and maintain the enterprise data and AI reference architecture aligned with Abbott's Information Management and AI strategy. Develop future-state blueprints for Data Mesh, Data Fabric, and cloud-native analytics platforms while establishing principles, standards, and governance frameworks. Design scalable, secure cloud-native data platforms leveraging Snowflake, Databricks, and Microsoft Fabric, and define integration patterns for batch, real-time, and event-driven architectures. Enable AI-ready ecosystems supporting machine learning, generative AI, and RAG, and lead technology evaluations for modernization initiatives. Partner with Enterprise Architecture, Security, and business stakeholders to ensure alignment across data, application, and technology domains. Report to the Director of Information Management, Data & Analytics.
Required Qualifications
- Master's degree in Computer Science, Data Science, Information Systems, Engineering, or related field
- 10+ years of experience in enterprise data architecture, data engineering, analytics architecture, or cloud platform architecture
- 5+ years designing and implementing enterprise-scale cloud data platforms
- Demonstrated experience architecting modern data ecosystems using technologies such as Snowflake, Databricks, Microsoft Fabric, Azure Synapse, Azure Data Lake, or equivalent platforms
- Experience designing architectures supporting AI/ML, Generative AI, RAG, feature stores, and advanced analytics workloads
- Strong understanding of Data Mesh, Data Fabric, Data Products, and modern information management principles
- Deep knowledge of enterprise integration patterns, APIs, event-streaming platforms, and real-time data architectures
- Experience implementing data governance, metadata management, lineage, MDM, and data quality solutions
- Strong understanding of regulatory and compliance considerations within healthcare, medical device, pharmaceutical, or highly regulated industries
- Excellent stakeholder management, communication, and influencing skills
- Must be able to lift 50 lbs
Desired Qualifications
- Experience within healthcare, life sciences, medical devices, pharmaceuticals, or regulated manufacturing industries
- Hands-on expertise with Snowflake, Databricks, Microsoft Fabric, Azure, Kubernetes, Apache Airflow, Delta Lake, Apache Iceberg, Kafka, or similar technologies
- Experience with vector databases, semantic search platforms, knowledge graphs, and enterprise AI platforms
- Relevant certifications in Azure, Cloud Architecture, Data Engineering, AI Engineering, or Enterprise Architecture
- Experience supporting global organizations and large-scale digital transformation programs
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