IT Director, Data & AI Architecture

Abbott

. Define and deliver Abbott's enterprise data and AI architecture vision .

Posted 10/19/2026full-timeWaukegan • Illinois • United StatesLead💰 $149,300 - $298,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in enterprise data architecture and cloud-native data platforms, with a strong focus on AI-ready ecosystems and modern information architecture principles. Proven ability to lead architecture reviews, influence stakeholders, and establish data governance standards.

Highest-signal resume keywords

Enterprise Data ArchitectureCloud Data Platform ArchitectureSnowflakeDatabricksAI-Ready Ecosystems

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data MeshData FabricLakehouse ArchitectureMachine LearningGenerative AIEvent-Driven ArchitectureAPIsData Quality ManagementMetadata ManagementReal-Time Data Processing

Soft Skills

Strong Communication SkillsInfluencing Senior Executives

Tools & Technologies

Microsoft FabricAzure Data ServicesKafkaStreaming PlatformsDataOpsCI/CDInfrastructure as CodeContainerization

Certifications & Qualifications

Master's Degree in Computer ScienceMaster's Degree in Data ScienceMaster's Degree in EngineeringMaster's Degree in Information Systems

Industry Keywords

Enterprise ArchitectureSolution DesignData GovernanceDomain-Driven DesignTechnical Architecture Leadership

Tech Stack

Tools & technologies

AzureCloudKafka

About the role

Key responsibilities & impact

Define and deliver Abbott's enterprise data and AI architecture vision
Architect scalable, secure, high-performing, and AI-ready data platforms
Lead architecture reviews for major data and analytics initiatives
Advise engineering, architecture, and business leaders on enterprise data strategy and architecture decisions
Define reference architectures and implementation standards for Snowflake, Databricks, Microsoft Fabric, Azure Data Services, and related cloud technologies
Drive architectural decisions for lakehouse, medallion, semantic layer, metadata, observability, vector database, and enterprise AI platforms
Define enterprise information architecture, canonical data models, domain ownership boundaries, and data product standards
Review and challenge engineering designs for scalability, resiliency, performance, maintainability, and cost optimization
Partner with engineering, infrastructure, platform, business, data governance, and information management teams
Chair architecture review boards and provide final architecture recommendations
Define standards for ingestion, transformation, orchestration, observability, DataOps, CI/CD, platform automation, APIs, event-driven architecture, and real-time processing
Guide Infrastructure as Code, platform engineering, containerization, and automated deployment practices
Drive Data Mesh and federated data ownership principles
Architect AI-ready ecosystems for machine learning, predictive analytics, Generative AI, agentic AI, and advanced analytics
Design architectures for RAG, semantic search, vector databases, knowledge repositories, embeddings, and semantic retrieval
Establish LLMOps and MLOps standards for deployment, monitoring, governance, and lifecycle management
Evaluate emerging AI technologies and create enterprise adoption roadmaps
Partner with governance teams on metadata, lineage, master data, quality, privacy, security, and regulatory requirements
Establish Abbott's target-state Data & AI Architecture and modernization roadmap within the first 12 months

Requirements

What you’ll need

Master's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field
10+ years of experience in enterprise data architecture, cloud data platform architecture, or large-scale analytics architecture
5+ years designing and implementing modern cloud-native data platforms and enterprise-scale technology architectures and solutions
Minimum 10 years of overall professional experience in technology, with a strong background in enterprise architecture and solution design
Minimum 3 years at the Director level or in a comparable senior individual contributor leadership role
Demonstrated expertise in technical architecture leadership
Deep hands-on expertise with Snowflake, Databricks, Microsoft Fabric, Azure Data Services, or equivalent modern data platforms
Experience designing and implementing large-scale lakehouse architectures
Experience architecting AI-ready data ecosystems supporting machine learning, Generative AI, vector retrieval, semantic search, and RAG architectures
Deep understanding of Data Mesh, Data Fabric, Data Products, domain-driven design, and modern information architecture principles
Experience with enterprise integration patterns, APIs, event-driven architectures, Kafka, streaming platforms, and real-time data processing
Experience defining data architecture standards covering metadata, lineage, master data management, and data quality
Experience leading architecture reviews and providing technical oversight for strategic enterprise initiatives
Strong communication skills with ability to influence senior executives, architects, engineers, and business stakeholders

Benefits

Comp & perks

Travel: 10% of the time
Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans