Senior Director, AI Risk and Compliance
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Thermo Fisher ScientificClinical Research, Life Sciences
Remote, North Carolina, United States of AmericaFull-TimeDirector
SalaryUSD 167500 - 278000 / year
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Job Details
- Experience
- 15 years of experience in digital, innovation, strategy, content/knowledge management, or customer-facing leadership roles
- Required Skills
- Stakeholder managementRisk Management
Requirements
- Bachelor’s degree required; MBA or advanced degree preferred (e.g., business, computer science, digital strategy).
- 15 years of experience in digital, innovation, strategy, content/knowledge management, or customer-facing leadership roles.
- Experience within clinical research, healthcare, life sciences, or technology-enabled services.
- Demonstrated ability to translate complex digital, data, and AI concepts into clear narratives for technical and non-technical audiences.
- Experience developing high-quality, customer-facing content to support commercial engagements (bids, proposals, value demonstrations, executive presentations).
- Strong executive presence with the ability to engage in high-stakes customer and leadership interactions.
- Proven ability to influence outcomes in highly matrixed environments without reliance on formal authority.
- Strategic judgment, systems thinking, and strong content architecture/knowledge management skills.
- Ability to travel as needed (0-20%).
Responsibilities
- Define and operationalize a CRG-wide AI risk and governance framework aligned with Thermo Fisher enterprise policies and regulatory expectations.
- Translate regulatory and enterprise risk requirements into scalable, reusable governance patterns, templates, and automated controls.
- Partner with AI Engineering & Platform to embed compliance into model lifecycle tooling, monitoring systems, and audit and traceability infrastructure.
- Ensure all AI solutions are developed and deployed with governance-by-design, including model transparency, explainability, data privacy, security compliance, and bias mitigation.
- Define and operationalize a risk-tiering framework for AI use cases (low, medium, and high risk).
- Operate as an independent control function, serving as the primary interface with Legal, Privacy, InfoSec, and Quality organizations.
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