Senior Director, AI Risk and Compliance
ThermoFisher Scientific · Suwanee, GA
$167,500–$278,000from the description
Jul 21, 2026
Suwanee, GA
Jul 22, 2026
What this job asks for AI summary
A senior leadership role focused on building and running an AI governance and risk compliance function within a clinical research organization. The position is responsible for creating risk-tiering frameworks, embedding compliance controls into AI model lifecycles and platforms, and serving as the primary liaison with Legal, Privacy, InfoSec, and Quality teams. It suits an experienced leader with a background in AI or technology governance who can operate as an independent oversight function alongside engineering and delivery teams.
Principal level · 15+ years · Remote · Bachelor's required · Full-time
Advertised as Senior, but the requirements read as Principal.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (7)
This role is titled 'Senior Director' but the scope — org-wide AI governance authority, peer to VP-level functions, 15+ years required, and enterprise-level framework ownership — supports a Principal-level classification on the seniority ladder. 'Senior' in the level advertised in the title reflects the title word 'Senior Director', not a Senior IC band.
The SOC classification is a judgement call: the role is primarily a governance/compliance leadership function within an AI organization, not a hands-on engineering or data science role. 11-3021 (Computer and Information Systems Managers) is the best fit given the leadership, policy, and cross-functional oversight scope; 15-1299 is noted as a runner-up given the AI-specific governance focus.
The salary range is anchored to North Carolina in the posting, but the role is Remote US with an east coast preference — the compensation figures are used as stated.
The qualifications section describes a mix of digital strategy, content/knowledge management, and AI governance experience. The listed skills reflect the concrete, named technical and governance capabilities called out; soft skills and generic leadership competencies are omitted per extraction rules.
MBA or advanced degree is listed as preferred, not required; the hard requirement is a Bachelor's degree.
No specific named technology tools (e.g., specific MLOps platforms, monitoring systems) are called out in the posting — the skills list reflects the governance and AI domain capabilities that are explicitly required.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI governance, AI risk management, model lifecycle management.
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