Associate Director, AI Engineering

About This Role

This leadership role involves leading and driving the enablement of GenAI and Agentic AI within Data Science tools and capabilities for clinical development, overseeing a team of data scientists, and influencing cross-functional stakeholders to leverage advanced analytics in healthcare.

Responsibilities

• Manage a team of associates and data scientists in DSA, potentially including line-level people managers
• Coach, mentor, and performance manage direct reports, focusing on talent development aligned with DSS strategy and R&D business needs
• Identify new capabilities and opportunities for analytics innovation and value creation, forming cross-functional teams for implementation
• Influence cross-functional stakeholders and Senior Executives to identify opportunities for leveraging data, advanced ML, and AI techniques
• Represent clinical analytics at critical governance, quality and compliance, and regulatory meetings
• Translate R&D strategy into functional area plans, collaborating with cross-functional leaders on project prioritization and timelines
• Foster an innovative and entrepreneurial culture within the team to attract and retain top talent and create an environment of continuous learning
• Craft functional area strategies, ensuring alignment with cross-functional stakeholder groups
• Ensure adherence to federal and local regulations, GCPs, ICH Guidelines, AbbVie SOPs, and functional quality standards.

Requirements

• 10+ years of related experience (BS degree)
• 4+ years experience with people management and talent development
• Intermediate-level proficiency in R, SAS or other statistical packages
• Intermediate-level knowledge of statistical and data mining techniques
• Intermediate proficiency with visualization tools like Spotfire, Tableau or equivalent
• Demonstrated project management skills
• Demonstrated effective communication skills
• Demonstrated problem-solving and analytical skills
• Demonstrated ability to influence Senior Executives and cross-functional leaders
• Good understanding of clinical development functional areas and related processes
• Proven track-record with leading complex cross-functional initiatives in Clinical Development

Qualifications

• Bachelors or Master's degree in statistics, mathematics, analytics, bioinformatics, data science or equivalent field
• 10+ years of related experience with a Bachelor's, 8+ years with a Master's, or 6+ years with a PhD degree. Must have 4+ years experience with people management and talent development.

Nice to Have

• Experience with Machine Learning and other advanced analytics techniques
• 2+ years experience with agentic frameworks such as LangGraph, OpenAI agents (including orchestration with tooluse), LLMs, vector databases, and retrieval pipelines (RAG)

Skills

* Required skills

Benefits