VP, AI-Driven Enterprise Data & Analytics

Sedgwick; Bismarck (ND); Remote; USD 180,000 - 280,000; Full time

Job summary

Sedgwick seeks a VP OmniAnalyst Product Manager – AI Enabled Enterprise Data Products to define and execute the product strategy, roadmaps, and business outcomes for its AI-enabled data portfolio. You will lead a team of PMs and collaborate with Data Engineering, AI Engineering, Security, and governance to deliver secure, scalable data products.

You will shape enterprise data sharing, semantic models, and self-service analytics, driving adoption and measurable value.

Qualifications

• Bachelor’s degree in Business, Computer Science, Information Systems, Engineering, Data Science or related field.
• Master’s degree 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, 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.

Responsibilities

• Define 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.
• 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.

Skills

Product management

Data products

Analytics platforms

AI products

Portfolio management

Agile methodologies

Education

Bachelor’s degree in Business, CS, IS, Engineering, Data Science or related field

Master’s degree preferred

Job description

Sedgwick seeks a VP OmniAnalyst Product Manager – AI Enabled Enterprise Data Products to define and execute the product strategy, roadmaps, and business outcomes for its AI-enabled data portfolio. You will lead a team of PMs and collaborate with Data Engineering, AI Engineering, Security, and governance to deliver secure, scalable data products.

You will shape enterprise data sharing, semantic models, and self-service analytics, driving adoption and measurable value.