Senior Lead, AI Governance

Posted Sep 30

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead, mentor, and develop a small team of specialists focused on AI Governance and Adoption with stakeholder engagement.

• Create an engagement model, service catalog, playbooks, templates, service levels, quality standards, and escalation pathways.

• Prioritize tasks and ensure the delivery of clear, actionable guidance to support the responsible implementation and adoption of AI.

• Assist client stakeholders through formal evaluations of AI applications, covering aspects such as business purpose, data usage, technical design, legal considerations, security, operational readiness, human oversight, and ongoing monitoring.

• Facilitate periodic reviews and remediation activities that are proportionate to the risk and business impact of use cases.

• Collaborate with data governance, privacy, security, legal, and technology teams to define and implement requirements regarding data classification, ownership, approved usage, minimization, retention, and deletion.

• Build credibility, foster alignment, and guide stakeholders towards informed decisions through prescriptive guidance and practical trade-offs.

• Maintain oversight of the AI use-case pipeline, including approvals, adoption status, exceptions, incidents, control effectiveness, stakeholder maturity, usage, and value realization.

• Deliver concise reporting and recommendations to leadership, highlighting key risks, decisions, dependencies, and escalation needs.

• Stay updated on evolving AI capabilities, platforms, risks, governance practices, standards, and regulations.


⛳️ Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Management, Cybersecurity, Business, or a related field, or equivalent practical experience.

• Over 8 years of experience in AI governance, technology governance, data governance, risk management, security, privacy, AI product delivery, analytics, or related fields.

• At least 3 years of leadership experience managing teams or complex cross-functional programs in a customer-facing setting.

• Experience in translating policies, standards, and risk requirements into practical operating procedures, design guidance, and implementation controls.

• Proficient understanding of generative AI, enterprise LLM platforms, retrieval-augmented generation, AI applications, agents, model APIs, orchestration methods, and evaluation practices.

• Knowledge of data classification, minimization, identity and access management, logging, monitoring, retention, human oversight, incident management, and third-party risk.

• Demonstrated ability to influence stakeholders and drive adoption through collaboration, credibility, and clear guidance.

• Excellent communication, facilitation, executive presentation, prioritization, and team leadership abilities.

• Experience in building or scaling an enterprise Responsible AI or AI governance program across a federated organization, franchise system, business-unit network, or customer portfolio.

• Familiarity with information protection and data governance capabilities.

• Knowledge of enterprise AI platforms and model providers, including Microsoft, Azure AI, AWS, Google Cloud, Anthropic, or OpenAI.

• Experience in governing AI agents, service identities, tool usage, agent permissions, evaluation harnesses, and LLM observability.

• Understanding of NIST AI RMF, the NIST Generative AI Profile, ISO/IEC 42001, privacy requirements, and emerging AI standards and regulations.

• Background in sports, media, entertainment, consumer data, or other fields involving sensitive information and semi-autonomous stakeholders.

• Relevant certifications in governance, risk, privacy, security, data management, cloud, or AI governance.


🏝️ Benefits

• 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

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