Associate Director, Strategic Initiatives for Data and AI Convergence

Company Description

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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

The R&D Data and AI Convergence organization aims to revolutionize AbbVie's R&D pipeline by leveraging data and AI to expedite the development of new and improved medicines for patients. This role will focus on supporting initiatives that drive impact leveraging AbbVie’s R&D framework, emphasizing cross-functional collaboration and leadership in program management. The Associate Director will collaborate with scientists, clinicians, study teams, data scientists, and AI specialists to lead projects involving AI solutions to ensure impactful contributions to AbbVie’s pipeline.

Responsibilities:

• • Drive strategy and execution of AI and non-AI solutions to help support the pipeline.
  • The role involves providing program management leadership across multiple projects aligned with strategic objectives. Projects range from patient focused initiatives such as the AbbVie Research Collaborative to AI solutions
  • Develop integrated project plans, resource projections, risk plans, and effectiveness metrics for each initiative.
  • Support resource allocation, budget management, and project deliverables to achieve desired outcomes
  • Support functional teams in implementing change management processes as an output of the respective initiatives
  • Stay informed about emerging AI methodologies to support strategic decision making.
  • Report to a director level and manage matrix teams.

Qualifications

Qualifications:

• • Bachelor's degree with 10+ years of experience required, preferably in science or data-related fields; a Master's degree with 8+ years of experience in quantitative science is preferred.
  • 8+ years of e