Purpose:

The Director, Clinical Data and AI Convergence, will serve as the physician leader within AbbVie’s R&D Convergence Core Team, responsible for identifying and executing opportunities where data convergence, advanced analytics, and AI technologies can transform strategic decision-making processes and optimize end-to-end clinical and translational medicine workflows. This role brings together deep medical expertise, strategic vision, and applied data science capabilities to develop integrated, scalable workflow solutions - moving beyond isolated point tools - to accelerate trial execution, improve decision quality, and enhance operational efficiency across AbbVie’s therapeutic portfolio. The Director will

• Act as the principal clinical integration authority for Convergence initiatives, ensuring solutions are clinically relevant, scientifically rigorous, operationally feasible, and compliant with regulatory standards.
• Lead efforts to assess existing workflows, identify systemic gaps, and collaborate with teams to architect advanced analytical and AI-enabled processes that seamlessly embed into R&D processes, from early research through late-stage development.
• Ensure that clinical workflow innovations create measurable value for AbbVie’s pipeline and shape a sustainable foundation for enterprise-wide adoption of advanced data capabilities

Responsibilities:

Strategic Workflow Integration & Clinical Leadership

• Serve as the primary clinical voice within the Convergence Data and AI team, ensuring initiatives address real-world medical and operational needs.
• Translate therapeutic area and functional priorities into integrated workflow solutions that can scale across programs and indications.
• Partner across R&D to identify workflow inefficiencies, bottlenecks, and decision-making gaps that can be addressed through end-to-end data convergence and advanced technological strategies.

Design & Implementation of Integrated Solutions

• Lead the collaborative development of architecture and enterprise level workflows integrating diverse data sources into unified, analytics-ready frameworks.
• Ensure new workflows are interoperable, user centric, and aligned with trial governance, decision forums, and change management plans.
• Oversee the clinical validation of AI derived outputs for patient selection, endpoint strategies, trial optimization, safety surveillance, and benefit–risk assessment

Cross Functional Collaboration & Change Enablement

• Facilitate co-creation of solutions with clinicians, data scientists, biostatisticians, operations leaders, and regulatory partners.
• Champion cultural adoption of integrated data and AI workflows through stakeholder engagement, targeted training, and transparent demonstration of business/clinical impact.
• Disseminate lessons learned, best practices, and standardized methodologies across functions and therapeutic areas to accelerate adoption