Enterprise Data Architect (Operations and Finance)

Company Description

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 at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

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.

Qualifications

Required:

• Bachelor’s degree with 10 years of experience; Master’s 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 data architectures and 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 proactively identify opportunities, challenge assumptions, promote reuse, and enable scalable delivery through strong architectural leadership.

Additional Information

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

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
• This job is eligible to participate in our long-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable 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.

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