Data Science Program Lead I

Responsibilities:
- Align DSS study teams with program- and study-level strategies; lead the DSS Study Team and represent Data & Statistical Sciences on cross-functional study teams.
- Serve as single point of contact and accountable operational lead from DSS; coordinate DSS study teams to meet operational objectives; engage global functional and cross-functional teams.
- Interact with and influence cross-functional team members to achieve program and study objectives.
- Use operational analytics and project management tools to optimize execution, manage internal/external resources, track progress, prepare study status reports, and identify issues affecting timelines/quality.
- Ensure adherence to federal/local regulations, GCP, ICH guidelines, AbbVie SOPs, and functional quality standards; stay current on evolving regulations for clinical development.
- Participate in vendor oversight; provide feedback on study operations, issues, and performance trends.
- Coach and mentor Data Science Associates (may include indirect supervision of contract resources).
- Participate in DSS and cross-functional innovation/process improvement initiatives.
- Contribute study execution “lessons learned” across functions.

Qualifications:
- Bachelor’s degree in business, MIS, computer science, life sciences, or equivalent (Master’s preferred). PMP Certification or Lean Six Sigma Green Belt desired.
- 3+ years pharma/clinical research/data management/healthcare experience or 5+ years project management experience (or applicable work experience).
- Strong understanding of clinical trial process and clinical technology; experience managing a clinical trial from initiation to completion preferred.
- Demonstrated leadership, influence without direct authority, communication, and analytical skills.