JobFrame · AIM.GEN.M2
Artificial Intelligence Manager · General
M2 · M2 — Manager II · Individual contributor
Median pay · United States
$110,455
$86,772 – $140,602 · USD · annual · national base (function pricing in review)
Level position
M2 · 2 of 6 in track
Median pay
$110,455
$86,772–$140,602
Level
M2
M2 · 2 of 6 in track
Super-function
technology
Demand-heat
cool
10.1% growth
Summary
Includes 1–3 years of people management or significant project leadership, with a focus on execution and team management.
This level — M2 M2 — Manager II
Manages an established team or sub-function; owns planning and performance for the group.
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 rapid pace of scientific discovery and the overwhelming complexity of biological data make it challenging to implement effective AI/ML solutions. They struggle with the pressure of delivering innovative solutions while ensuring alignment with ethical standards and regulatory frameworks. 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 transformation
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.
What's at risk
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.
How the role wins
- 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.
Act on this profile
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Assessments
Goal instruments
SMART / OKR / scorecard templates sized to this profile's level and family.
Compensation
Observed BLS OEWS market pay for every occupation, dated and sourced — the universal job → pay join key.
$258 · $79/mo · $790/yr
Modeled market pay (base + bonus/TCC/equity/TDC) from the combined survey-blend equation, for this Job × Level grid.
$490 · $149/mo · $1,490/yr
Market-anchored grade ladders (wide / standard / tight range designs) built on our modeled market midpoints.
$490
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$990
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