VP OmniAnalyst Product Manager - AI-Enabled Enterprise Data Products

About the role

Sedgwick is hiring a VP OmniAnalyst Product Manager for its AI-enabled enterprise data products, working remotely. The role defines and executes the product strategy, roadmap and business outcomes for a portfolio of data products, including enterprise AI analyst and conversational analytics platforms, data sharing and exchange capabilities, and operational decision support. It leads Product Managers and Product Owners and partners with Data Engineering, Architecture, Security, Governance, AI Engineering, Analytics and Business leaders.

Key responsibilities

• Define the multi-year vision, strategy, roadmap, business model and investment priorities for enterprise AI and data products
• Drive AI-powered analytical experiences using natural language and conversational interfaces
• Own the enterprise data product portfolio, including data-as-a-product principles, semantic models, metadata, cataloging and self-service analytics
• Lead enterprise data-sharing solutions and define secure, compliant data exchange frameworks with Security, Governance, Privacy and Legal teams
• Own AI Analyst and conversational analytics capabilities, measuring adoption, accuracy, user satisfaction and business impact
• Develop business cases, OKRs, portfolio KPIs and executive communications
• Oversee delivery across teams, set backlog quality and acceptance criteria, and mitigate delivery risk
• Ensure solutions meet security, privacy, regulatory, governance and responsible AI requirements
• Lead Product Owners, Scrum Masters and product teams, coaching on Agile, customer-centric development and value measurement

Required profile

• Bachelor's degree in Business, Computer Science, Information Systems, Engineering, Data Science or a related field; Master's preferred
• 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, semantic modeling, AI/ML or conversational AI products
• Experience in Agile or scaled Agile environments leading cross-functional teams

Required skills

• Expert knowledge of Agile, product operating models, portfolio management, prioritization and roadmap development
• Data as a Product, data mesh, data fabric, semantic modeling, metadata, lineage and enterprise analytics architectures
• AI, generative AI, conversational analytics, augmented decision-support platforms and responsible AI
• Enterprise data sharing, security, privacy, governance, compliance and risk management