About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us atwww.abbvie.com. Follow @abbvie onLinkedIn,Facebook,Instagram,XandYouTube.

The Data Domain Architect, Operations and Financeis responsible fordefining 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 andmaintainmulti-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 andselectionof technologies and platforms, including AWS, SAP BDC, Dataiku, SageMaker Studio, and Agentic AI capabilities.

• Partner with senior business and technology leaders toidentifyopportunities, 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 domainstrategywhere 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.

Required:

• Bachelors degree with 10 years of experience; Masters degree with 9 years of experience; or PhD with 5 years of experience.

• Strong experience in complex enterprise environments, preferably in pharmaceutical, healthcare, manufacturing, finance, or operations.

• Proven experience with AWS-based dataarchitecturesand modern cloud data platform patterns.

• Experience with SAP BDC or related SAP data and integration technologies.

• Experience with AI/ML platforms such as Amazon SageMaker Studio, Dataiku, and Agentic AI solutions.

• Demonstrated ability to define roadmaps, influence strategy, and lead architecture governance.

• Strong business acumen, including understanding of operational and financial processes.

• Proven ability to communicate effectively with senior and executive leadership.

• Ability to collaborate across business, technology, and external innovation partners.

Preferred:

• 10 years of experience in data architecture, enterprise architecture, analytics, or related technology leadership roles.

• Experience leading large-scale transformation initiatives across Operations and Finance.

• Strong understanding of enterprise architecture principles and their application in future-state design.

• Experience building reusable data products, AI products, and product factory operating models.

• Experience in regulated industries with strong awareness of security, compliance, and quality requirements.

• Ability to work in matrixed organizations and influence without direct authority.

Leadership Expectations

• This role is expected to act as a strategic thought leader and trusted advisor, helping shape the long-term direction of data and AI capabilities across Operations and Finance. The Data Domain Architect should proactivelyidentifyopportunities, challenge assumptions, promote reuse, and enable scalable delivery through strong architectural leadership.

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.

• This job is eligible toparticipatein our long-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company's sole andabsolutediscretion unless and until paid andmay bemodifiedat the Companys sole and absolute discretion, consistent withapplicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visithttps://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

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https://www.abbvie.com/join-us/reasonable-accommodations.html