Legal AI Governance & Implementation Specialist

About the role

Polaris Inc. is seeking a key contributor to its AI governance efforts. This role involves advising the Polaris AI Board, evaluating AI use cases, managing governance processes, and providing practical guidance on AI-related risks and controls.

Responsibilities

• Advise the Polaris AI Board by reviewing AI proofs of concept, pilot programs, and production deployments and providing guidance on legal and governance considerations.
• Evaluate AI use cases for legal, regulatory, intellectual property, privacy, and ethical risks and recommend appropriate controls and mitigations.
• Document legal decisions, risk assessments, governance requirements, and guardrails associated with approved AI initiatives.
• Support compliance with AI policies, governance standards, and human-in-the-loop requirements across AI implementations.
• Monitor and analyze emerging AI regulations and legal developments and assess their impact on organizational AI strategies and practices.
• Translate regulatory requirements into practical guidance, risk controls, standards, and recommendations for internal stakeholders.
• Conduct audits of external legal counsel and AI vendors to assess compliance with AI governance policies, data handling requirements, security expectations, and quality standards.
• Partner with internal stakeholders and external partners to address compliance gaps and communicate AI governance expectations.
• Collaborate with Procurement and Legal teams to review AI-related risk assessments, vendor questionnaires, software license terms, data usage rights, model training provisions, and intellectual property considerations.
• Identify and recommend mitigation strategies for contractual and operational risks associated with AI technologies, training data, outputs, and downstream use.
• Assess Legal department workflows and identify opportunities to improve efficiency, research, contract review, and compliance activities through responsible AI adoption.
• Draft, maintain, and update AI-related policies, standards, guidelines, training materials, and governance documentation.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field.
• Minimum of 4 years of experience in global data governance, compliance, or risk management with exposure to AI and machine learning systems.
• AIGP certification required.
• Strong knowledge of data privacy requirements and AI compliance regulations.
• Proven experience working with governance frameworks in enterprise environments.
• Excellent communication skills with the ability to convey governance requirements to both technical and non-technical audiences.
• Experience collaborating with legal, compliance, audit, and cross-functional business stakeholders.
• Experience developing, maintaining, or supporting policy and governance programs within complex organizations.
• Experience evaluating legal, regulatory, privacy, intellectual property, or operational risks associated with technology solutions.
• Legal experience supporting AI governance initiatives preferred.