AI Governance Principal

Blackbaud

. Design, document, and continuously improve enterprise AI governance frameworks, policies, standards, and methodologies, including approaches for generative AI and agentic AI .

Posted 10/23/2026full-timeRemote • United StatesLead💰 $133,700 - $173,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI governance frameworks, translating regulatory requirements into actionable controls, and effectively communicating AI risks and strategies to diverse stakeholders. Proven ability to build governance programs from the ground up while adapting to evolving AI technologies and compliance standards.

Highest-signal resume keywords

AI Governance Framework DevelopmentNIST AI RMF ApplicationEU AI Act ComplianceRisk Assessment and ManagementStakeholder Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GovernanceRisk ManagementCompliancePolicy DevelopmentAI/ML Lifecycle UnderstandingGenerative AI KnowledgeControl Framework ImplementationTechnical FluencyMetrics DevelopmentDocumentation Standards

Soft Skills

Influencing SkillsCross-Functional CollaborationCommunication SkillsProblem-SolvingAdaptability

Certifications & Qualifications

IAPP AIGP

Industry Keywords

AI GovernanceResponsible AITechnology RiskISO/IEC 42001ISO 27001ISO/IEC 42005SaaS EnvironmentRegulatory ComplianceRisk ClassificationGovernance Capability

About the role

Key responsibilities & impact

Design, document, and continuously improve enterprise AI governance frameworks, policies, standards, and methodologies, including approaches for generative AI and agentic AI
Own the governance process for AI initiatives, from intake and inventory through risk classification, assessment, review, approval, and ongoing oversight
Translate NIST AI RMF, the EU AI Act, and other regulatory requirements and frameworks into actionable controls and expectations
Partner with product and engineering teams to evaluate proposed AI solutions and validate control design and implementation
Identify areas requiring additional risk treatment
Establish documentation, evidence, evaluation, and monitoring requirements for a consistent and traceable governance process
Develop metrics measuring AI governance effectiveness and adoption, including coverage, review cycle times, and exception management
Communicate AI risks, requirements, decisions, and tradeoffs to executives, product leaders, engineers, and other stakeholders
Continuously evolve the governance program as AI technologies, regulatory expectations, and industry standards change

Requirements

What you’ll need

8+ years of experience across governance, risk, compliance, technology risk, or policy, including direct experience building or leading AI governance, responsible AI, or AI risk programs
Hands-on experience applying NIST AI RMF and working knowledge of the EU AI Act
Familiarity with ISO/IEC 42001, ISO 27001, ISO/IEC 42005, or similar frameworks is a plus
Experience building a governance program, control framework, or major governance capability from the ground up, including authoring and implementing policies and standards
Experience providing independent or second-line oversight in a software, SaaS, or technology environment and partnering directly with product and engineering teams
Strong understanding of the AI/ML lifecycle, generative AI, and agentic AI patterns
Technical fluency to participate effectively in design and architecture discussions
Ability to influence across technical and executive audiences, translate complex requirements into practical guidance, and drive adoption without relying on direct authority
IAPP AIGP or a comparable AI governance credential is a plus

Benefits

Comp & perks

Medical, dental, and vision insurance
Remote-flexible workforce
Wellness Programs
401(k) program with employer match
Flexible paid time off
Generous Parental Leave
Donations for Doers
Pet insurance, legal and identity protection
Tuition reimbursement program