Director, Product Management

Verisk is a data analytics and technology partner to the global insurance industry. The Director, Product Management will own the Portfolio Health strategy and develop AI-enabled portfolio decision intelligence for property insurers, leading the product from discovery and definition through delivery, commercialization, and adoption. The role also involves cross-functional leadership, financial planning, and coaching developing product managers.

Responsibilities:

• Own the strategy, roadmap, business case, and product lifecycle for Portfolio Health while building toward a broader Portfolio Decision Intelligence vision
• Lead customer and market discovery with carrier product leaders, underwriting executives, actuaries, and other decision-makers to identify consequential problems and validate demand
• Translate strategy into execution by defining requirements, prioritizing the backlog, and leading A/B testing
• Partner with engineering, data science, design, and insurance experts to deliver high-quality, AI-enabled software products
• Create experiences that detect meaningful portfolio change, explain why it matters, recommend responsible next actions, and help customers learn from outcomes
• Ensure recommendations are supported by reliable data, transparent evidence, appropriate governance, and human oversight
• Lead products from concept through launch and adoption, including positioning, packaging, pricing, sales enablement, and implementation support
• Establish success measures across customer value, adoption, revenue, retention, and product performance; use evidence to guide roadmap and investment decisions
• Own product-level financial planning, forecasting, and performance reporting
• Build alignment and drive decisions across business, technology, data, legal, compliance, sales, marketing, and operations
• Coach developing product managers and help establish strong product-management practices as the team grows

Requirements:

• Typically 8+ years of experience in product management, insurance product leadership, insurance technology, or a related field
• Meaningful experience in property and casualty insurance, underwriting, portfolio management, insurance data and analytics, or an adjacent risk-technology market
• Experience taking complex software or analytics products from discovery through launch, customer adoption, and measurable business results
• Strong customer orientation, including experience identifying unmet needs, conducting discovery, evaluating competitors, and translating insights into product choices
• Experience partnering with engineering and data-science teams in Agile or iterative delivery environments
• Commercial judgment across positioning, go-to-market strategy, pricing, packaging, forecasting, and revenue growth
• The ability to simplify complex insurance, data, and technology concepts into clear requirements, decisions, and executive narratives
• Strong cross-functional leadership and the ability to challenge constructively, establish clarity, and move decisions forward without relying on formal authority
• Experience coaching product managers or other developing talent
• A bachelor's degree or equivalent practical experience
• You are energized by how AI can improve how insurers identify opportunities, allocate attention, evaluate risk, and act
• You understand that sustainable differentiation requires more than a model. It comes from combining AI with differentiated data, insurance expertise, workflow integration, governance, and customer trust
• You can work effectively with technical partners on AI-enabled products without needing to be the team's AI architect
• You balance urgency and experimentation with disciplined validation, responsible controls, and accountability for getting valuable products to market
• Experience with Verisk products, data, customers, or operating environments
• Experience at an insurer, insurance-data provider, property-intelligence company, core-platform provider, catastrophe-modeling firm, or insurtech
• Experience commercializing analytics, decision-support, workflow, SaaS, or AI-enabled products for enterprise insurance customers
• Experience with portfolio analytics, underwriting strategy, profitable-growth identification, experimentation, or workflow orchestration