Description
Key Responsibilities
- Lead the end-to-end lifecycle of AI projects and programs, from ideation and planning through deployment and post-launch impact assessment
- Manage delivery in a dynamic, research-driven environment, enabling Biomedical Research scientists while embracing change
- Develop and maintain AI project and program roadmaps aligned to organizational priorities and emerging AI trends
- Act as the primary point of contact for AI initiatives, providing clear status updates to stakeholders and leadership
- Ensure consistent application of the AI Project Playbook across projects of varying complexity, risk, and value
- Ensure AI solutions meet ethical standards, data privacy regulations, and responsible AI requirements
- Drive adoption of adaptive and agile project management practices and tools across the organization
- Actively contribute to the project management community, sharing best practices and mentoring junior PMs
- Ensure compliance with global Information Security, Quality, and Data Governance standards
- Where applicable, ensure adherence to GxP regulations ( , GLP, GCP) for regulated AI solutions
Experience & Core Skills
- Proven track record of successfully delivering projects and programs in a pharmaceutical or biotech R&D environment
- Strong understanding of the drug discovery and early research process
- 5+ years of experience in project and/or program management
- 1+ year of experience in AI/ML or data-driven environments, including exposure to AI tools, platforms, or development lifecycles
- Proficiency with project execution tools ( , Jira, MS Planner, MS Project)
- Demonstrated ability to lead cross-functional teams of scientific, technical, and business experts
- Excellent communication, leadership, stakeholder management, and organizational skills
Education & Qualifications
- Bachelor’s degree required; Technology or Life Sciences preferred
- Background in Biology or Chemistry is a strong plus
- Formal training in project management methodologies ( , PMP, PMI-ACP, Certified Scrum Master)
- Formal training in AI and Machine Learning concepts, strategies, and tools
- PMP, CSM and AI certifications ( , CPMAI) are strongly preferred