Director Product Management - AI

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Director Product Management - AI

** ARE YOU AN IDEAL CANDIDATE?*
* We are looking for a strategic, customer-focused leader who embodies Sedgwick's values of empathy, accountability, collaboration, innovation, growth, and inclusion. The ideal candidate is passionate about transforming enterprise data into measurable value through modern data products, AI-powered experiences, and secure, governed platforms that enable better decisions at scale.

** PRIMARY PURPOSE** :

The Director, Product Management - AI Enabled Enterprise Data Products is responsible for defining and executing the product strategy, roadmap, and business outcomes for Sedgwick's enterprise AI-enabled data product portfolio.

This role owns a portfolio of strategic data products including:

+ Enterprise AI Analyst and conversational analytics platforms that allow users to ask natural language questions and receive trusted insights, visualizations, recommendations, and analysis.

+ Enterprise data sharing, data exchange, marketplace, semantic layer, data catalog, and self-service analytics capabilities.

+ AI-enabled operational decision support products and analytical applications.

The Director serves as the bridge between business strategy, data strategy, AI innovation, technology execution, governance, and client value realization. This role leads Product Managers and Product Owners while partnering with Data Engineering, Architecture, Security, Governance, AI Engineering, Analytics, and Business leaders to deliver secure, scalable, governed, and measurable enterprise capabilities.

** ESSENTIAL FUNCTIONS AND RESPONSIBILITIES*
* ** Define Product Vision and Strategy*
* + 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, coordinate & support development work*
* + 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.

** Own Enterprise Data Product Portfolio*
* + 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…