Director Product Management - AI

Sedgwick is a leading claims management services company, and they are seeking a Director of Product Management for AI-enabled enterprise data products. This role is responsible for defining and executing the product strategy and roadmap for AI-enabled data products, ensuring alignment between business and technical strategies while leading cross-functional teams.

Responsibilities:

• Define and own the multi-year vision, strategy, roadmap, business model, and investment priorities for enterprise AI and data products
• Establish a product portfolio that enables business users, clients, and operational teams to discover, access, share, and analyze trusted enterprise data
• Drive AI-powered analytical experiences that allow users to interact with enterprise data through natural language and conversational interfaces
• Partner with executive leadership to identify opportunities that improve decision-making, efficiency, client experience, revenue growth, and cost optimization
• Develop business cases, success measures, portfolio-level OKRs, and executive communications on progress, risks, and architectural implications
• Oversee delivery across multiple teams, ensuring alignment between product strategy, technical execution, architectural direction, and client outcomes
• Set expectations for backlog quality, acceptance criteria, prioritization, capacity planning, dependency management, and delivery risk mitigation
• Own product portfolio KPIs and contributions to Product Group and enterprise OKRs, including quality, efficiency, sustainability, and value delivery
• Ensure solutions comply with enterprise security, privacy, regulatory, governance, and responsible AI requirements
• Serve as the senior escalation point for product-related dependencies, risks, and prioritization conflicts
• Establish product management practices for enterprise data products, including data-as-a-product principles
• Define and manage reusable, governed data products supporting claims, finance, compliance, operations, client, and executive reporting needs
• Drive adoption of semantic models, business glossaries, metadata, cataloging, and self-service analytics capabilities
• Lead product strategy for enterprise data-sharing solutions for internal consumers, clients, partners, and third-party integrations
• Ensure data products are reliable, scalable, discoverable, secure, usable, and supported by lineage and governance
• Own the product vision for AI-powered analytics that provide trusted answers, insights, metrics, visualizations, and recommendations through natural language interactions
• Partner with business teams to identify high-value analytical use cases and decision-support opportunities
• Define requirements for semantic layers, knowledge models, retrieval experiences, governance controls, trust mechanisms, and user experiences
• Measure AI product effectiveness through adoption, accuracy, user satisfaction, business impact, and operational efficiency
• Ensure AI-generated insights are explainable, governed, auditable, and aligned with enterprise policies
• Define strategy and roadmap for enterprise-scale data exchange and sharing capabilities
• Partner with Security, Governance, Privacy, and Legal teams to establish secure and compliant data-sharing frameworks
• Drive capabilities for role-based access, entitlements, auditing, lineage, masking, client access controls, and data-sharing agreements
• Enable governed data product distribution across business units, clients, partners, and external ecosystems while supporting growth, performance, compliance, and resilience
• Build strong relationships with business leaders, claims operations, finance, client services, technology leaders, and external stakeholders
• Translate business objectives and operational challenges into actionable AI and data product strategies
• Communicate roadmap progress, risks, dependencies, investment needs, and outcomes to executive leadership
• Establish and monitor portfolio-level KPIs, OKRs, and value realization metrics that trace strategy through implementation to business impact
• Lead and develop Product Owners, Scrum Masters, and product delivery teams
• Establish product management best practices across AI, data, analytics, and platform teams
• Coach teams on customer-centric product development, Agile practices, outcome-based planning, and value measurement
• Foster a culture of innovation, experimentation, accountability, continuous learning, and collaboration

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
• Ability to translate business and portfolio strategy into product vision, execution standards, and measurable value
• 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
• Master's degree preferred