VP, OmniAnalyst Product Manager

🕒 July 28

🏈 Alabama, Arizona, +23 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🌶️ New Mexico – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🌪️ Oklahoma – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

⏰ Full Time

🔴 Lead

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 54%

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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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

• Define and own the multi-year vision, strategy, roadmap, business model, and investment priorities for enterprise AI and data products • Establish a product portfolio enabling users, clients, and operational teams to discover, access, share, and analyze trusted enterprise data • Drive AI-powered analytical experiences using natural-language and conversational interfaces • Partner with executive leadership to identify opportunities improving decision-making, efficiency, client experience, revenue growth, and cost optimization • Develop business cases, success measures, portfolio-level OKRs, and executive communications • Oversee delivery across multiple teams and align product strategy, technical execution, architecture, and client outcomes • Set standards for backlog quality, acceptance criteria, prioritization, capacity planning, dependency management, and delivery-risk mitigation • Own product portfolio KPIs and contributions to enterprise OKRs • Ensure compliance with security, privacy, regulatory, governance, and responsible AI requirements • Establish product management practices and reusable governed data products • Drive semantic models, business glossaries, metadata, cataloging, lineage, and self-service analytics capabilities • Lead strategy for enterprise data sharing with internal consumers, clients, partners, and third-party integrations • Own AI-powered analytics vision and measure adoption, accuracy, user satisfaction, business impact, and operational efficiency • Define secure data exchange, role-based access, entitlements, auditing, masking, client access controls, and data-sharing agreements • Build relationships with business, technology, and external stakeholders and communicate roadmap progress, risks, dependencies, investments, and outcomes • Lead and develop Product Owners, Scrum Masters, and product delivery teams • Coach teams on customer-centric product development, Agile practices, outcome-based planning, and value measurement

🎯 Requirements

• Bachelor's degree in Business, Computer Science, Information Systems, Engineering, Data Science, or related field required • 10+ years of progressive experience in Product Management, Data Products, Analytics Platforms, AI Products, or Enterprise Technology • 5+ years leading Product Managers or Product Owners and managing product portfolios • Experience owning enterprise-scale data, analytics, AI, platform, reporting, self-service analytics, semantic modeling, AI/ML, or conversational AI products • Experience defining product strategy, roadmaps, business cases, and measurable outcomes for data-driven products • Experience working in Agile or scaled Agile environments and leading cross-functional teams across Architecture, Data Engineering, Analytics, Security, Governance, and Business stakeholders • Expert knowledge of Agile methodologies, product operating models, portfolio management, prioritization, roadmap development, and outcome measurement • Deep understanding of Data as a Product principles, modern data platforms, data mesh, data fabric, governance, semantic modeling, metadata, lineage, and enterprise analytics architectures • Strong understanding of AI, generative AI, conversational analytics, augmented decision-support platforms, and responsible AI practices • Experience with enterprise data sharing, security, privacy, governance, compliance frameworks, and risk management • Strong executive communication, stakeholder management, product adoption, organizational change, and people leadership capabilities • Ability to balance business value, technical complexity, investment, risk, and operational impact

🏖️ Benefits

• Work-life balance • Caring culture • Career growth opportunities • Equal Opportunity Employer • Drug-Free Workplace