Principal Data Scientist, Data and AI Convergence at Abbvie

Purpose: The Principal Data Scientist will serve as a strategic leader and technical expert driving enterprise-level transformation through the convergence of R&D data assets and the systematic integration of advanced AI/ML capabilities into organizational workflows. This role will work with cross-functional teams to define and architect scalable solutions that fundamentally transform how AbbVie leverages data and artificial intelligence to enhance strategic decision-making processes across the R&D pipeline and clinical development continuum. • Acting as a key member of the R&D Convergence Core team, this position will identify systemic gaps in data convergence and workflow integration, then lead collaborative efforts to design and implement enterprise-wide solutions that create sustainable organizational capabilities rather than isolated point solutions. The Principal Data Scientist will work at the intersection of scientific strategy, advanced analytics, and organizational transformation to establish integrated frameworks that enable scalable AI/ML adoption across therapeutic areas and functional domains. • This role requires demonstrated expertise in translating cutting-edge AI technologies -including advanced machine learning, deep learning, and generative AI - into production-ready workflow integrations that drive measurable improvements in R&D innovation and efficiency, clinical trial optimization, and strategic portfolio decision-making processes. The position demands a proven track record of leading enterprise-scale data and AI initiatives that achieve cross-functional adoption and deliver sustained organizational impact.       Enterprise Strategy & Workflow Transformation • Lead the identification and assessment of enterprise-level gaps in data convergence, analytical capabilities, and AI/ML integration across R&D workflows; design comprehensive strategies to address systemic challenges through scalable, integrated solutions • Architect and champion collaborative cross-functional frameworks that enable the systematic integration of advanced AI/ML capabilities into existing R&D and clinical workflows, ensuring solutions are extensible, maintainable, and aligned with enterprise data strategies • Drive organizational transformation initiatives that fundamentally enhance how data and AI inform strategic decision-making across the R&D portfolio, therapeutic development, and clinical trial execution • Establish and evangelize best practices, standards, and governance frameworks for enterprise-wide AI/ML workflow integration that ensure consistency, quality, and regulatory compliance  Advanced AI/ML Solution Architecture • Oversee the development of sophisticated, production-grade AI/ML workflow orchestrations that integrate multiple data sources, analytical techniques, and decision support capabilities into cohesive enterprise solutions • Lead the collaborative application of state-of-the-art AI technologies including advanced machine learning, deep learning architectures, natural language processing, and generative AI to transform complex R&D and clinical development processes • Architect end-to-end analytical pipelines that seamlessly connect data ingestion, feature engineering, model training, deployment, monitoring, and continuous improvement within enterprise platforms • Drive innovation in workflow automation and intelligent process optimization, leveraging AI/ML to reduce cycle times, enhance quality, and improve decision accuracy across the R&D continuum  Cross-Functional Leadership & Collaboration • Serve as the technical leader for high-impact, cross-functional initiatives requiring advanced data convergence and AI/ML integration across multiple therapeutic areas and R&D functions • Partner with senior leadership across R&D, IT, Data Science, and business functions to align workflow transformation initiatives with strategic priorities and ensure executive-level buy-in • Represent R&D in enterprise-wide forums and decision-making bodies related to data strategy, AI governance, and technology architecture, advocating for solutions that balance innovation with scalability and compliance  Organizational Capability Building • Oversee development of reusable, modular AI/ML components and workflow templates that can be rapidly adapted across different therapeutic areas and functional domains • Collaborate with Data Engineering, MLOps, and IT teams to establish robust infrastructure and platforms that support the scalable deployment and operation of integrated AI/ML workflows  • Establish metrics and monitoring frameworks to continuously assess the impact of AI/ML workflow integrations on R&D efficiency, decision quality, and strategic outcomes  Technical Excellence & Innovation • Maintain deep expertise in the latest advances in artificial intelligence, machine learning, and analytical methodologies; evaluate emerging technologies for their potential to drive enterprise-wide workflow transformation • Ensure all AI/ML solutions adhere to regulatory requirements, data governance policies, ethical AI principles, and AbbVie quality standards • Design solutions with security, privacy, auditability, and explainability considerations embedded from inception, particularly for regulated clinical and healthcare applications • Translate complex technical architectures and AI/ML methodologies into clear strategic narratives for diverse stakeholders, from technical teams to executive leadership