Why This Role Stands Out
Shape the future of healthcare innovation by leading enterprise data and AI architecture at Abbott Laboratories, a globally recognized leader. This hybrid role offers a unique opportunity to drive strategic initiatives, mentor technical teams, and directly impact patient outcomes through cutting-edge technology. If you are a visionary architect passionate about leveraging data and AI in a mission-driven environment, this is your chance to make a significant difference.
Quick Overview
Job Description
Abbott Laboratories seeks an IT Director, Data & AI Architecture to shape enterprise data and AI strategy for its biotechnology and pharmaceutical portfolio. This role leads design of secure, scalable cloud and data platforms, enabling advanced analytics and AI/ML for global healthcare products and operations. You will define reference architectures, data governance, and integration patterns, partnering closely with R&D, diagnostics, and business leaders. The director mentors technical teams, evaluates emerging technologies, and drives innovation that improves patient outcomes and operational excellence in a collaborative, mission-driven environment.
Responsibilities
- Lead enterprise Data & AI architecture strategy supporting Abbott's biotechnology and pharmaceutical solutions
- Design scalable cloud, data, and analytics platforms enabling advanced insights and AI/ML capabilities
- Establish data governance, security, and compliance standards across global systems
- Partner with R&D, IT, and business stakeholders to align data architecture with product and clinical goals
- Evaluate and select technologies, tools, and platforms for data integration, storage, and AI workloads
- Guide solution architects and engineers, setting reference architectures and technical roadmaps
- Ensure reliability, performance, and interoperability of data ecosystems across regions
- Drive innovation in data engineering, MLOps, and real-time analytics to improve patient and business outcomes
Required Skills
- Enterprise data architecture
- Cloud platforms (AWS/Azure/GCP)
- Data warehousing and lakehouse design
- ETL/ELT and data integration
- AI/ML platforms and MLOps
- Data governance and security
- API and microservices architecture
- SQL and distributed data technologies
- Regulated environment (Gx
- P, HIPAA) knowledge
- Leadership and stakeholder management
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