Description
By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected.
We're 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 VP OmniAnalyst Product Manager – 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.
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.
- 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 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 AI Analyst and Conversational Analytics Capabilities:
- 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.
- Enable Secure Enterprise Data Sharing:
- 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.
- Stakeholder Engagement and Value Realization:
- 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.
- People Leadership:
- Lead and develop Product Owners, Scrum Masters, and product delivery teams.
- Establish product management best practices across AI, data, analytics, and platform teams.
Qualifications:
- Education & Licensing:
- Bachelor's degree in Business, Computer Science, Information Systems, Engineering, Data Science, or related field required.
- Master's degree preferred.
- Experience:
- 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.
- Skills & Knowledge:
- 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.
Success Measures: The VP will be evaluated on:
- Delivery of a clear enterprise AI and data product strategy, roadmap, and investment plan.
- Adoption and measurable business value from AI-enabled analytics, data products, and data-sharing capabilities.
- Improved data product quality, usability, discoverability, governance, security, and scalability.
- Effective stakeholder alignment, executive communication, prioritization, and value realization.
- Development of high-performing product teams and consistent product management practices.