VP, Responsible AI

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🥔 Idaho, Louisiana, +2 more states – Remote

🥔 Idaho – Remote ⚜️ Louisiana – Remote 🌾 Nebraska – Remote 🤠 Texas – Remote

⏰ Full Time

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🤖 Artificial Intelligence

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Sedgwick

WebsiteLinkedInAll Job Openings

10,000+ employees

🏗️ Construction

💼 Consulting

🏥 Healthcare

Construction • Consulting • Healthcare

Sedgwick is a global provider of technology-enabled risk, benefits, and integrated business solutions. They help people and organizations by managing and mitigating risk with solutions in accident, health, disability, unemployment compensation, and liability claims administration, among others. Sedgwick offers services such as claims administration, building consulting, forensic accounting, and forensic engineering. Their specialties include property restoration, brand protection, and loss prevention across several industries, including agriculture, construction, and environmental sectors. The company emphasizes diversity, equity, and inclusion (DEI) as well as environmental, social, and governance (ESG) practices.

📋 Description

• Own Sedgwick's enterprise Responsible AI and AI Governance strategy, operating model, roadmap, and maturity evolution • Serve as executive business owner for the Credo governance platform and OpenLayer platform • Manage vendor relationships, platform adoption, workflows, risk frameworks, controls, reporting, audits, renewals, and strategic direction • Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies • Own enterprise AI inventories, use-case, model, and agent registries, and AI risk register • Define AI risk-tiering methodologies and approval requirements • Design and operate automated AI governance workflows with intake, classification, policy assignment, routing, approvals, monitoring, and evidence generation • Embed governance controls into AI development, CI/CD, deployment, monitoring, and operational processes • Partner with Legal, Compliance, Privacy, Risk, Security, Internal Audit, Technology, Data, and business leadership • Establish AI control frameworks and own compliance evidence, audit readiness, control testing, and governance reporting • Address bias, privacy, explainability, transparency, security, robustness, hallucination risk, model drift, and human oversight • Lead AI incidents, exceptions, waivers, and remediation programs • Develop governance KPIs, KRIs, scorecards, and executive dashboards • Oversee pre-deployment evaluations and runtime monitoring through OpenLayer • Build and lead cross-functional Responsible AI and AI Governance teams and councils • Influence executives, regulators, clients, auditors, and technology partners • Provide strategic leadership, coaching, talent development, succession planning, and resource allocation • Oversee recruitment, onboarding, performance management, and professional development of team members

🎯 Requirements

• Bachelor's degree in Computer Science, AI or Data Engineering • Fifteen (15) years of progressive leadership experience in computer science, artificial intelligence, data engineering, technology governance, risk management, compliance, or a related field • Significant experience leading enterprise-scale AI governance, responsible AI, model risk management, data governance, technology risk, or digital transformation programs • Experience developing and operationalizing governance frameworks, control models, risk-tiering methodologies, policy standards, approval workflows, and compliance monitoring processes • Experience with AI/ML systems, generative AI, foundation models, copilots, agents, automation workflows, model registries, AI inventories, and third-party AI products • Experience implementing or overseeing governance, risk, compliance, observability, model monitoring, model evaluation, or AI control platforms • Ability to partner with Legal, Compliance, Privacy, Risk, Security, Internal Audit, Technology, Data, and business leadership • Experience preparing for audits, regulatory reviews, client inquiries, control testing, evidence collection, governance reporting, and executive-level risk reviews • Experience leading cross-functional teams, executive governance councils, committees, or enterprise-wide transformation initiatives • Experience managing vendor relationships, technology platforms, product roadmaps, contract renewals, and strategic partnerships preferred • Experience in a highly regulated industry or complex global enterprise environment preferred • Master's degree preferred

🏖️ Benefits

• Work-life balance • Caring culture • Equal Opportunity Employer • Drug-Free Workplace • Diverse, equitable, and inclusive workplace