Enterprise Architect – Data & Analytics (CoE)

About Abbott

Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology.

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You will have access to :

• Career development with an international company where you can grow the career you dream of.
• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
  
  

About The Role

We are looking for an experienced Enterprise Architect – Data & Analytics to help shape and evolve our enterprise-wide data, analytics, and AI capabilities.

As part of the Data & Analytics Center of Excellence (CoE), you will define the strategic architecture for data platforms, integrations, governance, and analytics solutions. You will ensure our data landscape is scalable, secure, well-governed, and ready to support future business growth and AI innovation.

This is a senior leadership role that requires strong expertise in enterprise data architecture, cloud technologies, and stakeholder management.

Key Responsibilities

Enterprise Architecture & Integration

• Define and govern enterprise data integration architecture and standards.
• Design scalable and reusable data integration patterns across systems and platforms.
• Drive alignment between business goals, analytics requirements, and technology solutions.
• Act as a trusted advisor on data, analytics, and AI transformation initiatives.
  
  

Data Platform & Cloud Strategy

• Lead architecture for the Enterprise Data Platform supporting analytics, AI, and data products.
• Establish best practices for :
• AWS cloud data solutions
• Databricks Lakehouse architecture
• dbt analytics engineering frameworks
• SAP integrations and data ecosystems
• Ensure solutions are scalable, secure, resilient, and cost-effective.
• Promote platform reuse and reduce duplication across teams.
  

Data Governance & Master Data Management

• Define standards for data quality, metadata, lineage, security, and access management.
• Drive enterprise Master Data Management (MDM) and reference data strategies.
• Partner with governance, privacy, and security teams to ensure compliance and regulatory requirements are met.
  
  

Analytics & AI Enablement

• Design architectures that support advanced analytics, AI, and future data-driven capabilities.
• Create scalable and trusted data foundations for AI and analytics initiatives.
• Ensure solutions meet security, compliance, and quality standards, including regulated pharma requirements.
  
  

Leadership & Stakeholder Engagement

• Collaborate with architects, engineers, platform teams, SAP teams, governance leads, and business stakeholders.
• Provide architectural guidance, mentorship, and design assurance across delivery teams.
• Present architectural recommendations and trade-offs to senior leaders.
• Represent the Data & Analytics CoE in enterprise architecture and governance forums.
  
  

Required Experience

What You'll Bring

• Extensive experience in Enterprise Architecture, Data Architecture, Cloud Architecture, or Integration Architecture.
• Strong background designing enterprise-scale data and analytics platforms.
• Expertise in data integration, ingestion, and harmonization using batch, streaming, and event-driven approaches.
• Hands-on experience with :
• AWS
• Databricks (Lakehouse, Spark, Delta Lake)
• dbt
• SAP HANA Cloud (preferred)
• Strong understanding of data modeling and domain-driven design.
• Experience with data governance, data quality, metadata management, and MDM.
• Excellent communication, stakeholder management, and influencing skills.
  

Preferred Qualifications

• Experience working in large, complex, or highly regulated organizations.
• Exposure to Data Mesh or domain-oriented data environments.
• Familiarity with data catalog, metadata management, and observability tools.
• TOGAF or equivalent Enterprise Architecture certification.
• Understanding of PMO processes, SDLC governance, and architecture standards.
  
  

Why Join Us?

• Shape the future of enterprise-wide data, analytics, and AI capabilities.
• Influence strategic technology decisions across the organization.
• Work with modern cloud and data technologies, including AWS, Databricks, SAP, and AI platforms.
• Join a high-impact team driving innovation, governance, and data excellence at scale.
  
  

Travel : Occasional international travel may be required for stakeholder meetings, workshops, and team events.