Senior Lead, AI Governance

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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OneMagnify

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1967

📣 Marketing

🛍️ eCommerce

🤖 Artificial Intelligence

Marketing • eCommerce • Artificial Intelligence

OneMagnify is a company focused on creating optimal customer experiences through digital transformation. They specialize in a variety of services including customer research, brand experience, UI/UX design, website development, eCommerce, and programmatic media powered by AI. By leveraging data-driven strategies and technology, OneMagnify enhances customer engagement and develops personalized experiences at scale for their clients.

📋 Description

• Lead, coach, and develop a small team of stakeholder-facing AI Governance and Adoption specialists • Establish an engagement model, service catalog, playbooks, templates, service levels, quality standards, and escalation paths • Set priorities and ensure delivery of clear, practical guidance supporting responsible AI implementation and adoption • Support client stakeholders through formal reviews of AI applications, including business purpose, data use, technical design, legal considerations, security, operational readiness, human oversight, and ongoing monitoring • Support periodic reviews and remediation activities proportionate to use-case risk and business impact • Partner with data governance, privacy, security, legal, and technology teams to define and operationalize requirements for data classification, ownership, approved use, minimization, retention, and deletion • Build credibility, create alignment, and move stakeholders toward decisions through prescriptive guidance and practical tradeoffs • Maintain visibility into the AI use-case pipeline, approvals, adoption, exceptions, incidents, control effectiveness, stakeholder maturity, usage, and value realization • Provide concise reporting and recommendations to leadership, including key risks, decisions, dependencies, and escalation needs • Monitor 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 • 8+ years of experience across 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 policy, standards, and risk requirements into practical operating procedures, design guidance, and implementation controls • Working knowledge of generative AI, enterprise LLM platforms, retrieval-augmented generation, AI applications, agents, model APIs, orchestration approaches, and evaluation practices • Understanding of data classification, minimization, identity and access management, logging, monitoring, retention, human oversight, incident management, and third-party risk • Proven ability to influence stakeholders and drive adoption through partnership, credibility, and clear guidance • Exceptional communication, facilitation, executive presentation, prioritization, and team leadership skills • Experience building or scaling an enterprise Responsible AI or AI governance program across a federated organization, franchise system, business-unit network, or customer portfolio • Experience with information-protection and data-governance capabilities • Familiarity with enterprise AI platforms and model providers such as Microsoft, Azure AI, AWS, Google Cloud, Anthropic, or OpenAI • Experience governing AI agents, service identities, tool use, agent permissions, evaluation harnesses, and LLM observability • Knowledge of NIST AI RMF, the NIST Generative AI Profile, ISO/IEC 42001, privacy requirements, and evolving AI standards and regulations • Experience in sports, media, entertainment, consumer data, or other environments 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