Manager V/Senior Director
AIM.GEN.M5
Leadership of large teams or programs, with a focus on strategic outcomes and cross-departmental impact.
Leadership of large teams or programs, with a focus on strategic outcomes and cross-departmental impact.
The story of this role
Who does this work
An Artificial Intelligence Manager who is passionate about leveraging AI to transform biotechnology and life sciences research, aiming to make significant contributions in drug discovery and clinical diagnostics.
The problem this role solves
- The external problem: The rapid pace of scientific discovery and the overwhelming complexity of biological data make it challenging to implement effective AI/ML solutions.
- The internal problem: They struggle with the pressure of delivering innovative solutions while ensuring alignment with ethical standards and regulatory frameworks.
- Why it matters: They believe that the intersection of AI and biotech should ultimately improve human health and quality of life, and feel frustrated when technological advancements don’t translate into real-world benefits.
The plan
- Assess existing AI/ML capabilities and identify gaps in current biotech research workflows.
- Develop a strategic roadmap for AI integration in collaboration with cross-functional teams.
- Implement AI solutions with an emphasis on regulatory compliance and ethical considerations.
- Train and mentor team members on AI technologies and foster a culture of innovation.
- Monitor outcomes and iterate on AI deployments to ensure they meet the evolving needs of scientific research.
What's at stake
Inability to effectively utilize AI technologies, resulting in missed research opportunities. Failure to comply with regulatory standards leading to potential legal and ethical repercussions. Loss of stakeholder trust due to ineffective AI implementations that do not yield real-world results.
Success looks like
Accelerating the pace of drug discovery by reducing time to market for new therapies. Enhancing the accuracy of clinical diagnostics, leading to better patient outcomes. Fostering a culture of continuous improvement and innovation within the organization.
Summary
Leadership of large teams or programs, with a focus on strategic outcomes and cross-departmental impact.
Level — M5 — Senior Director
Leads multiple functions or a large department; drives multi-year strategy.
- Scope
- Multiple functions or a large department
- Autonomy
- Owns multi-year strategy for the area
- Complexity
- Org-level trade-offs and investment
- Impact
- Multi-function results
- Decision rights
- Owns investment and org design across functions
- Leadership
- Leads directors and managers
- Typical experience
- 12–18 yrs
Core outputs
No core outputs recorded yet.
Adjacent roles
Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →
Componentsshow ▾
Responsibilities3
- Define the AI strategy and long-term roadmapcommonlevel
- Act as a liaison between the AI team and other departmentscommonlevel
- Implement rigorous testing, validation, and documentation procedures for all AI modelscommonlevel
Tasks5
- Develop enterprise AI strategy.commonlevel
- Lead cross-departmental projects.commonlevel
- Oversee quality and compliance.commonlevel
- Communicate with senior leadership.commonlevel
- Drive cultural transformation.commonlevel
Skills8
- Enterprise strategy developmentcommonlevel
- Cross-departmental leadershipcommonlevel
- Quality and compliance oversightcommonlevel
- Executive communicationcommonlevel
- Innovation strategycommonlevel
- Resource allocationcommonlevel
- Risk managementcommonlevel
- Cultural transformationcommonlevel
Knowledge8
- Enterprise strategy and planningcommonlevel
- Cross-functional leadershipcommonlevel
- Quality and compliance managementcommonlevel
- Executive communication strategiescommonlevel
- Innovation in AIcommonlevel
- Resource management principlescommonlevel
- Risk management frameworkscommonlevel
- Cultural transformation techniquescommonlevel
competency3
- Strategy & Roadmapcommonlevel
- Cross-functional collaborationcommonlevel
- Quality, Validation & Compliancecommonlevel
qualification3
- 15+ years experience in data science/AIcommonlevel
- Deep knowledge of machine learning algorithmscommonlevel
- Ph.D. or equivalent research experiencecommonlevel
Title aliasesshow ▾
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| Senior Director, Artificial Intelligence Manager | common | medium0.66 | — |
| Artificial Intelligence Manager Senior Director | common | medium0.60 | — |
| Senior Director, Drug Discovery | common | medium0.66 | — |
| Drug Discovery Senior Director | common | medium0.60 | — |
| Senior Director, Genomics | common | medium0.66 | — |
| Genomics Senior Director | common | medium0.60 | — |
| Senior Director, Clinical Diagnostics | common | medium0.66 | — |
| Clinical Diagnostics Senior Director | common | medium0.60 | — |
| Senior Director, Bioinformatics | common | medium0.66 | — |
| Bioinformatics Senior Director | common | medium0.60 | — |
| Manager V/Senior Director | common | medium0.50 | — |
Classification mappingsshow ▾
O*NET / SOC
- code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review