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M4
AIM.GEN.M4
Manager IV/Director
Artificial Intelligence Manager

Manager IV/Director

AIM.GEN.M4

M4M4 — Directormedium0.70draftglobalv1

Substantial leadership with a track record of strategy implementation, managing multiple teams or a department.

Level
M4 · M4 — Director · 10–15 yrs
Function · Focus
Artificial Intelligence Manager · General
Market pay (median)
Pay basis
model pending

Substantial leadership with a track record of strategy implementation, managing multiple teams or a department.

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

  1. Assess existing AI/ML capabilities and identify gaps in current biotech research workflows.
  2. Develop a strategic roadmap for AI integration in collaboration with cross-functional teams.
  3. Implement AI solutions with an emphasis on regulatory compliance and ethical considerations.
  4. Train and mentor team members on AI technologies and foster a culture of innovation.
  5. 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

Substantial leadership with a track record of strategy implementation, managing multiple teams or a department.

Level — M4 — Director

Leads a function or department; owns strategy, budget, and outcomes for the area.

Scope
A function or department
Autonomy
Owns area strategy and budget
Complexity
Strategic priorities and cross-functional alignment
Impact
Function-level results
Decision rights
Owns strategy, budget, and org design for the area
Leadership
Leads managers; sets direction for the function
Typical experience
10–15 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

  • Lead AI strategy implementation.commonlevel
  • Influence cross-departmental initiatives.commonlevel
  • Ensure compliance with quality standards.commonlevel
  • Communicate strategy to executives.commonlevel
  • Manage change initiatives.commonlevel

Skills8

  • Strategic leadershipcommonlevel
  • Cross-functional influencecommonlevel
  • Quality managementcommonlevel
  • Validation and compliancecommonlevel
  • Executive communicationcommonlevel
  • Innovation leadershipcommonlevel
  • Resource managementcommonlevel
  • Change managementcommonlevel

Knowledge8

  • Executive strategy developmentcommonlevel
  • Cross-functional influencecommonlevel
  • Quality and compliance frameworkscommonlevel
  • Validation and testing standardscommonlevel
  • Leadership in innovationcommonlevel
  • Biotech regulatory landscapecommonlevel
  • AI governancecommonlevel
  • Change management principlescommonlevel

competency3

  • Strategy & Roadmapcommonlevel
  • Cross-functional collaborationcommonlevel
  • Quality, Validation & Compliancecommonlevel

qualification3

  • 12–15 years experience in data science/AIcommonlevel
  • Deep knowledge of machine learning algorithmscommonlevel
  • Ph.D. or equivalent research experiencecommonlevel
Title aliasesshow ▾
AliasTypeConfidenceApproved
Director, Artificial Intelligence Managercommonmedium0.66
Artificial Intelligence Manager Directorcommonmedium0.60
Director, Drug Discoverycommonmedium0.66
Drug Discovery Directorcommonmedium0.60
Director, Genomicscommonmedium0.66
Genomics Directorcommonmedium0.60
Director, Clinical Diagnosticscommonmedium0.66
Clinical Diagnostics Directorcommonmedium0.60
Director, Bioinformaticscommonmedium0.66
Bioinformatics Directorcommonmedium0.60
Manager IV/Directorcommonmedium0.50
Classification mappingsshow ▾

O*NET / SOC

  • code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review