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 onLinkedIn,Facebook,Instagram,XandYouTube.
Job Description
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.
Qualifications
- 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.
Additional Information
- 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 Company’s 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.
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