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  • Enterprise Data Architect (Operations and Finance)

    AbbVie Inc. - Florham Park, NJ, United States
    Indexed from Smartrecruiters Benefit evidence checked May 7, 2026
    1w ago

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    Description: "dataiku"Source-backed benefits
    Unspecified Data - Mid Unknown provenance 12 wk leave Unknown provenance 12 wk non-birth leave Salary not disclosed Inferred from posting 401(k) reported

    Enterprise Data Architect (Operations and Finance) Florham Park, NJ, United States 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

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