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Senior Lead, AI Governance
OneMagnify. Lead, coach, and develop a small team of stakeholder-facing AI Governance and Adoption specialists .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Governance, Data Governance, and Risk Management, with a strong ability to lead teams and influence stakeholders. Proficient in translating complex policies into actionable procedures while ensuring compliance with evolving AI standards and regulations.
Highest-signal resume keywords
AI GovernanceData GovernanceRisk ManagementGenerative AI KnowledgeStakeholder Influence
ATS Keywords
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Hard Skills
AI Product DeliveryData ClassificationIdentity And Access ManagementIncident ManagementEvaluation PracticesPolicy TranslationImplementation ControlsMonitoringOperational ReadinessTechnical Design
Soft Skills
Team LeadershipExceptional CommunicationFacilitationPrioritizationExecutive Presentation
Tools & Technologies
Microsoft Azure AIAWSGoogle CloudAnthropicOpenAI
Certifications & Qualifications
Governance CertificationRisk CertificationPrivacy CertificationSecurity CertificationData Management Certification
Industry Keywords
NIST AI RMFNIST Generative AI ProfileISO/IEC 42001Privacy RequirementsSensitive Information
Tech Stack
Tools & technologiesAWSAzureCloudCyber Security
About the role
Key responsibilities & impact- Lead, coach, and develop a small team of stakeholder-facing AI Governance and Adoption specialists
- Establish an engagement model, service catalog, playbooks, templates, service levels, quality standards, and escalation paths
- Set priorities and ensure delivery of clear, practical guidance supporting responsible AI implementation and adoption
- Support client stakeholders through formal reviews of AI applications, including business purpose, data use, technical design, legal considerations, security, operational readiness, human oversight, and ongoing monitoring
- Support periodic reviews and remediation activities proportionate to use-case risk and business impact
- Partner with data governance, privacy, security, legal, and technology teams to define and operationalize requirements for data classification, ownership, approved use, minimization, retention, and deletion
- Build credibility, create alignment, and move stakeholders toward decisions through prescriptive guidance and practical tradeoffs
- Maintain visibility into the AI use-case pipeline, approvals, adoption, exceptions, incidents, control effectiveness, stakeholder maturity, usage, and value realization
- Provide concise reporting and recommendations to leadership, including key risks, decisions, dependencies, and escalation needs
- Monitor evolving AI capabilities, platforms, risks, governance practices, standards, and regulations
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Systems, Data Management, Cybersecurity, Business, or a related field, or equivalent practical experience
- 8+ years of experience across AI governance, technology governance, data governance, risk, security, privacy, AI product delivery, analytics, or related disciplines
- 3+ years of leadership experience managing teams or complex cross-functional programs in a customer-facing environment
- Experience translating policy, standards, and risk requirements into practical operating procedures, design guidance, and implementation controls
- Working knowledge of generative AI, enterprise LLM platforms, retrieval-augmented generation, AI applications, agents, model APIs, orchestration approaches, and evaluation practices
- Understanding of data classification, minimization, identity and access management, logging, monitoring, retention, human oversight, incident management, and third-party risk
- Proven ability to influence stakeholders and drive adoption through partnership, credibility, and clear guidance
- Exceptional communication, facilitation, executive presentation, prioritization, and team leadership skills
- Experience building or scaling an enterprise Responsible AI or AI governance program across a federated organization, franchise system, business-unit network, or customer portfolio
- Experience with information-protection and data-governance capabilities
- Familiarity with enterprise AI platforms and model providers such as Microsoft, Azure AI, AWS, Google Cloud, Anthropic, or OpenAI
- Experience governing AI agents, service identities, tool use, agent permissions, evaluation harnesses, and LLM observability
- Knowledge of NIST AI RMF, the NIST Generative AI Profile, ISO/IEC 42001, privacy requirements, and evolving AI standards and regulations
- Experience in sports, media, entertainment, consumer data, or other environments involving sensitive information and semi-autonomous stakeholders
- Relevant certifications in governance, risk, privacy, security, data management, cloud, or AI governance
Benefits
Comp & perks- Medical coverage
- Dental coverage
- Vision coverage
- 401(k) retirement plan
- Paid holidays
- Flexible Time Off (FTO)
- Wellness programs
- Financial security programs
- Professional growth programs
- Reasonable accommodation for individuals with disabilities