AI Governance Analyst / Data Governance

AI Governance Analyst (Contract) 1 year long contract with expected extensions Hybrid onsite 3 days a week in Charlotte NC We're hiring an AI Governance Analyst to help a large enterprise organization build out its AI governance and compliance program. This role blends data governance and AI governance, hands-on vetting of AI use cases, policy development, and cross-functional stakeholder engagement, rather than a classic business analyst or engineering role. This is a great fit for someone who leads with governance expertise and people skills, negotiation, education, and buy-in, rather than deep technical or programming depth. What You'll Do: • Conduct hands-on vetting of every AI use case entering the organization, third-party purchases and internal tools alike, assessing risk, bias, and model behavior • Help rewrite and implement the AI policy stack and contribute to the broader AI compliance program • Build requirements for a Semantic layer, knowledge graph, or ontology to improve AI outcomes and reduce cost over time • Partner cross-functionally with cyber, legal, business units, and data stewards to negotiate and operationalize governance • Translate technical and policy findings into practical, actionable guidance for business teams What You'll Bring: • Strong Data Governance experience, this is the most valued background for this role • AI Governance experience, even around a year, is a strong plus • Familiarity with semantic layers, ontology, or knowledge-graph concepts is a plus, not required • Strong stakeholder engagement, facilitation, and negotiation skills, including the ability to influence without direct authority • 6+ years of experience across data governance, AI governance, data management, risk, compliance, enterprise architecture, business transformation, or technology strategy • Deep programming or technical specialization is not required, this role is governance and people-skills focused If you enjoy translating policy into practical guidance, building trust across business and technical stakeholders, and helping an organization adopt AI responsibly, this is worth a conversation.