Manager II
AIM.GEN.M2
Includes 1–3 years of people management or significant project leadership, with a focus on execution and team management.
Includes 1–3 years of people management or significant project leadership, with a focus on execution and team management.
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
Includes 1–3 years of people management or significant project leadership, with a focus on execution and team management.
Level — M2 — Manager II
Manages an established team or sub-function; owns planning and performance for the group.
- Scope
- An established team or sub-function
- Autonomy
- Owns planning for the group
- Complexity
- Cross-project coordination and priorities
- Impact
- Group delivery and development
- Decision rights
- Owns staffing, priorities, performance for the group
- Leadership
- Manages a team; sometimes manages leads
- Typical experience
- 5–8 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
- Lead the design, development, and deployment of AI and machine learning solutionscommonlevel
- Make architectural and technology stack decisions for AI systemscommonlevel
- Manage a team of AI/ML engineers, data scientists, and analystscommonlevel
Tasks5
- Lead AI project teams.commonlevel
- Develop strategic AI roadmaps.commonlevel
- Integrate AI solutions with existing systems.commonlevel
- Mentor junior managers.commonlevel
- Ensure compliance with AI ethics.commonlevel
Skills8
- Advanced AI system designcommonlevel
- Strategic project leadershipcommonlevel
- Cross-functional collaborationcommonlevel
- Technical decision-makingcommonlevel
- Team developmentcommonlevel
- Innovation managementcommonlevel
- Communicationcommonlevel
- Problem-solvingcommonlevel
Knowledge8
- Advanced machine learning techniquescommonlevel
- Strategic project managementcommonlevel
- Cross-functional team dynamicscommonlevel
- Technology integrationcommonlevel
- Leadership in AI innovationcommonlevel
- Biotech and life sciences applicationscommonlevel
- Data governancecommonlevel
- Ethical AI practicescommonlevel
competency3
- AI/ML Solution Developmentcommonlevel
- Technical Leadership & Architecturecommonlevel
- Team Management & Mentorshipcommonlevel
qualification3
- 7–8+ years experience in data science/AIcommonlevel
- Deep knowledge of machine learning algorithmscommonlevel
- Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Bioinformatics, Computational Biology, or a related STEM fieldcommonlevel
Title aliasesshow ▾
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| Manager, Artificial Intelligence Manager | common | medium0.66 | — |
| Artificial Intelligence Manager Manager | common | medium0.60 | — |
| Manager, Drug Discovery | common | medium0.66 | — |
| Drug Discovery Manager | common | medium0.60 | — |
| Manager, Genomics | common | medium0.66 | — |
| Genomics Manager | common | medium0.60 | — |
| Manager, Clinical Diagnostics | common | medium0.66 | — |
| Clinical Diagnostics Manager | common | medium0.60 | — |
| Manager, Bioinformatics | common | medium0.66 | — |
| Bioinformatics Manager | common | medium0.60 | — |
| Manager II | common | medium0.50 | — |
Classification mappingsshow ▾
O*NET / SOC
- code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review