Amgen
#WeareBiotech
Responsible AI Manager
Artificial IntelligenceArtificial IntelligenceFull TimeRemoteTeam 10,001+Since 1980H1B SponsorCompany SiteLinkedIn
Location
United States
Posted
47 days ago
Salary
$126.8K - $168.9K / year
Bachelor Degree4 yrs expEnglishCyber SecuritySDLCSQL
Job Description
• Own Amgen’s AI systems inventory as a foundational governance asset and single source of truth, providing guidance to support inventory completeness, accuracy, and consistent characterization of AI systems.
• Guide AI systems as they progress through required Responsible AI assessments, ensuring outcomes are captured, routed to the appropriate process flow, and followed through via relevant governance actions and reviews.
• Monitor governance signals across the AI inventory, including assessment status, outcomes, and exceptions, to maintain continuous oversight of Responsible AI compliance.
• Use inventory and governance data to provide clear visibility, traceability, and audit-ready evidence of Responsible AI oversight across the enterprise.
• Design, implement, and operate Responsible AI governance processes across the AI lifecycle by integrating Responsible AI requirements into existing enterprise processes, in close partnership with AI & Data, Legal, Quality, Compliance, Cybersecurity, and Digital Trust teams.
• Translate Responsible AI governance objectives and requirements into clear, intuitive workflows, decision points, and documentation that are easy for teams to understand and apply in practice.
• Partner with cross-functional teams to rethink, test, and refine Responsible AI governance processes.
• Contribute to the development of practical guidance and guardrails related to AI platforms, tools, and use cases.
• Define and monitor governance-relevant metrics and signals across the AI inventory to maintain visibility into Responsible AI compliance and emerging risks.
• Use assessment outcomes, governance signals, and exceptions to support risk-based decision-making and prioritization within Responsible AI governance processes.
Job Requirements
- Doctorate degree OR Master’s degree and 2 years of computer science, AI/ML, data science, IT, or a related field experience OR Bachelor’s degree and 4 years of computer science, AI/ML, data science, IT, or a related field experience OR Associate’s degree and 8 of years computer science, AI/ML, data science, IT, or a related field experience OR High school diploma / GED and 10 years of computer science, AI/ML, data science, IT, or a related field experience
- Bachelor’s Degree in Computer Science, AI/ML, Data Science, IT, or a related field with 5–7+ years of experience in AI, data or technology governance, risk management, or related roles, or a Master’s Degree in Computer Science, AI/ML, Data Science, IT, or a related field with 3–5+ years of experience in AI, data or technology governance, risk management, or related roles.
- Strong understanding of how modern AI systems and platforms are designed, deployed, and operated in enterprise environments, including lifecycle management, platform integrations, data flows, and operational controls.
- Working knowledge of the software development lifecycle (SDLC), with experience writing SQL queries to analyze AI system or inventory data in support of governance, risk, and compliance activities.
- Knowledge of applicable AI regulatory and ethical frameworks, such as the EU AI Act, the NIST AI Risk Management Framework, and FDA or EMA guidance.
- Strong analytical, organizational, and problem-solving skills with high attention to detail.
- Excellent communication and stakeholder management skills, with the ability to work effectively across functions and seniority levels.
- Team-oriented, with a high degree of initiative and self-motivation.
- Experience creating and operationalizing AI governance or similar frameworks in a large enterprise environment (nice to have).
- Experience in pharma, biotech, life sciences, or another regulated industry (nice to have).
Benefits
- A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
- group medical, dental and vision coverage
- life and disability insurance
- flexible spending accounts
- A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models where possible.
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