5 дней назад
Senior Lead, AI Governance
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Lead, AI Governance (AI Governance/Generative AI): Leading an AI Governance and Adoption team that evaluates enterprise AI applications, guides responsible implementation, and supports AI adoption for a sports and entertainment client with an accent on risk-based reviews, data governance, security, privacy, and operational controls. Focus on designing governance playbooks, assessing AI agents and LLM platforms, translating policies into implementation controls, and reporting risks, approvals, incidents, and value realization to leadership.
Location: Remote
Company
is an AI-native, platform-enabled B2B digital agency combining data, technology, creativity, analytics, and artificial intelligence to deliver integrated digital, media, and technology solutions.
What you will do
- Lead, coach, and develop a stakeholder-facing AI Governance and Adoption team.
- Establish engagement models, service catalogs, playbooks, templates, service levels, quality standards, and escalation paths.
- Guide formal reviews of AI applications across business purpose, data use, technical design, legal considerations, security, operational readiness, human oversight, and monitoring.
- Partner with data governance, privacy, security, legal, and technology teams to operationalize requirements for data classification, ownership, approved use, minimization, retention, and deletion.
- Track AI use cases, approvals, exceptions, incidents, control effectiveness, adoption, usage, and value realization.
- Provide leadership with concise reporting, recommendations, risk assessments, decisions, dependencies, and escalation needs.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Management, Cybersecurity, Business, or a related field, or equivalent practical experience.
- 8+ years of experience in 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 policies, standards, and risk requirements into operating procedures, design guidance, and implementation controls.
- Working knowledge of generative AI, enterprise LLM platforms, retrieval-augmented generation, AI applications, agents, model APIs, orchestration, and evaluation practices.
- Understanding of data classification, identity and access management, logging, monitoring, retention, human oversight, incident management, and third-party risk, along with strong stakeholder communication and executive presentation skills.
Nice to have
- Experience building or scaling enterprise Responsible AI or AI governance programs across federated organizations, franchise systems, business units, or customer portfolios.
- Experience with information-protection and data-governance capabilities.
- Familiarity with Microsoft, Azure AI, AWS, Google Cloud, Anthropic, or OpenAI platforms.
- Experience governing AI agents, service identities, tool use, agent permissions, evaluation harnesses, and LLM observability.
- Knowledge of NIST AI RMF, ISO/IEC 42001, privacy requirements, AI standards, or experience in sports, media, entertainment, or sensitive-data environments.
Culture & Benefits
- Remote work with flexibility and support for employee well-being.
- Medical, dental, and vision coverage.
- 401(k) retirement plan.
- Paid holidays and Flexible Time Off.
- Wellness, financial security, and professional growth programs.
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