The Data Domain Architect, Operations and Finance is responsible for defining and driving the data and AI architecture strategy that enables business outcomes across AbbVie Operations and Finance. This role serves as a trusted advisor to business and technology leaders, translating business strategy into actionable architecture roadmaps, reusable data product patterns, and AI-ready capabilities. 

This position requires deep experience in enterprise architecture, cloud data platforms, analytics, AI/ML enablement, and business process understanding. The role will provide strategic direction across AWS, SAP BDC, Agentic AI, AI SageMaker Studio, Dataiku, and associated data and integration technologies. The architect will also direct and guide data and AI engineers on architectural principles, future-state vision, and delivery roadmaps. 

Key Responsibilities 

• Define and communicate the architecture vision and strategy for the Operations and Finance data domain. 

• Develop and maintain multi-year roadmaps aligned to business strategy, transformation priorities, and enterprise capabilities. 

• Establish target-state architecture, architecture principles, and reusable patterns for data, analytics, and AI solutions. 

• Lead evaluation and selection of technologies and platforms, including AWS, SAP BDC, Dataiku, SageMaker Studio, and Agentic AI capabilities. 

• Partner with senior business and technology leaders to identify opportunities, assess business needs, and shape scalable solutions. 

• Serve as an advisor to senior leadership on data, AI, and technology investments that drive business value. 

• Incorporate external innovation and emerging technologies into the domain strategy where relevant. 

• Ensure solutions align with enterprise standards, security, governance, compliance, and architectural guardrails. 

• Direct and guide data and AI engineers on the vision, roadmap, standards, and architectural principles needed to execute effectively. 

• Own the reusable Data Product and AI Product Factory and enable the creation of AI-ready data products that can be scaled across the enterprise.