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.

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI systems governanceResponsible AI assessmentsSQL queriesAI lifecycle managementData flowsOperational controlsRisk managementGovernance frameworksCompliance activitiesData science

Soft Skills

Analytical skillsOrganizational skillsProblem-solving skillsAttention to detailCommunication skillsStakeholder managementTeam-orientedInitiativeSelf-motivation