Director II, Enterprise Data Foundation and Operations

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.

Role Summary: We are seeking an experienced and visionary technical leader to join our organization as the Director II, Enterprise Data Foundation & Operations, reporting directly to the Senior Director, APEX Enterprise. In this pivotal role, you will serve as the strategic business owner of the U.S. Commercial Therapeutics and Patient Services data ecosystem—the core engine powering advanced AI, analytics, and commercial products across the enterprise. Holding ultimate accountability for foundational architecture, data governance, acquisition, and operations, you will shape our organization's data-driven culture by ensuring the ecosystem delivers trusted, scalable assets ready to fuel our ML and AI solutions.

Responsibilities:

• Business Data Architecture: Serve as Business Owner of the end-to-end data lifecycle across the Raw, Curated, and Consumption layers. Engineer the definitive, certified enterprise data assets (e.g., 360-degree HCP and Patient views) that serve as the mandatory foundation for all downstream analytics and commercial products.
• Data Operations Modernization: Lead the transformation of manual, rules-based data operations (syndicated data, promotional data, patient claims, Commercial/Patient MDM) into an automated, AI-driven operations hub.
• Fit-For-Purpose (FFP) Engineering & Architectural Sign-Off: Partner with the Enterprise Product Organization to engineer FFP data layers that meet precise business requirements. Establish data product standards to ensure that all data product requests are scalable, secure, and minimize technical debt introduced into the ecosystem.
• Data Governance & Quality Standards: Establish and enforce rigorous enterprise data governance, compliance, and quality frameworks. Partner with business stakeholders and legal/compliance teams to ensure data is clean, secure, and fully compliant with healthcare regulations before it reaches the semantic or application layer.
• Enterprise Master Data Management (MDM): Direct the strategy and execution of Commercial and Patient MDM. Ensure rigorous data mastering, identity resolution, and interoperability to deliver pristine, 360-degree customer and patient views that serve as the unified source of truth for all downstream analytics, reporting, and AI solutions.
• Ecosystem Consolidation & Acquisition: Oversee the strategy and operations for acquiring new commercial data streams and managing external data vendors. Lead the consolidation of fragmented legacy data ecosystems into a unified, high-performance data fabric.
• Cross-Functional Technical Leadership: Serve as the principal data engineering liaison to BTS (IT), co-designing the future-state cloud and AI-ready data infrastructure. Lead, manage, and mentor a large, diverse team of business data architects, data stewards, and data operations experts, fostering a culture of technical excellence and innovation.

• Bachelor's degree in a quantitative discipline such as computer science, information technology, engineering, math, or related field (Advanced degree preferred).
• 15+ years of related professional experience, with 8+ years of deep experience in data engineering, data architecture, or data operations.
• 5+ years of technical leadership experience, successfully managing large, diverse teams in a fast-paced, matrixed environment.
• Experience in the Pharmaceutical or Life Sciences industry is required, with strong knowledge of industry regulations and compliance requirements related to healthcare data.
• Proven track record of scaling enterprise data warehouses, MDM solutions, and cloud data ecosystems (e.g., Snowflake, AWS, Databricks).
• Experience transforming manual data operations into automated, DataOps-driven environments (utilizing anomaly detection, automated pipelines, etc.).
• Exceptional matrix-leadership skills; ability to confidently partner with Business Product Owners while enforcing strict architectural and engineering standards alongside IT (BTS).
• Demonstrated ability to develop and present highly technical business cases and architectural roadmaps to senior executive leadership.

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 other 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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