Commercial Analytics Lead

At Howden, we're not just building a business
- We're rewriting the rules of what a global insurance broker can be. And now, it's your turn to be part of something extraordinary. From three people and a dog to over 22,000 employees across 56 countries, we've grown into a $4bn revenue powerhouse with bold ambition: to become a $13bn business with 40,000 people by 2030.

We're launching our US retail platform with the same entrepreneurial spirit that's driven our success worldwide- and we're looking for trailblazers to help shape the future.

• You'll Own It
• With 6,000 employee shareholders owning 34% of the company
  , our unique ownership model means you're not just joining a team-you're building a business you truly own.
• You'll Be Empowered
• We're a destination for talent where people are trusted to look after their clients and grow together. You'll have the freedom to lead, backed by global scale and local expertise.
• You'll Be Part of Something Bigger
• Our integrated platform spans broking, reinsurance, and MGA capabilities-giving you access to everything you need to deliver for clients and build something remarkable

We have always been employee-owned and driven by entrepreneurial spirit. Right from the beginning, we've focused on employing talented individuals and empowering them to make a real difference to the company, whilst building successful and fulfilling careers at the same time. Simply put, we hire talented specialists and give them what they need to make a difference for clients. Always have, always will.

We are seeking a strategic and entrepreneurial Commercial Analytics Lead to own the roadmap and delivery of client-facing analytics products. As an early member of the Howden US Data team, you will have the opportunity to work with industry-leading broking, claims, and actuarial talent to shape Howden's analytics strategy.

The ideal candidate will bring strong product management skills, substantial insurance knowledge, a passion for tinkering with AI, and broad technical fluency that enables effective work with engineers, data scientists, actuaries, model providers, and business leaders. You will manage product backlogs, define priorities, and work closely with engineering, business, and analytics teams to translate requirements into functional outcomes. You are entrepreneurial and comfortable working in a fast-paced environment where you will chart your own path.

Key Responsibilities

• Identify client risk modelling needs and define clear product outcomes, in collaboration with leaders in casualty, property, financial lines, employee benefits, personal lines, and claims.
• Bring together internal and external data, 3rd party statistical models, and vibe-coded prototypes into a governed, scalable, and branded analytics platform; identify and evaluate new opportunities to leverage AI to enhance capabilities deliver analytics more efficiently.
• Coordinate with Global and US teams to define today's tools, data sources, third-party relationships, and costs associated with delivering analytics to clients, driving reuse of existing capabilities and aligning standards to avoid duplicative investment.
• Build consensus around build versus buy strategy, external partnerships, and defining core analytics capabilities.
• Coordinate with Global and US teams to reuse existing Howden capabilities, align standards, and avoid duplicative investment.
• Define product requirements for client data intake, data quality, model execution, explainability, visualization, and a cohesive client experience.
• Define and monitor measures of product success, including usage, delivery time, client and broker feedback, commercial impact, delivery efficiency, and cost savings.
• Expert understanding of product management principles.
• Strong understanding of commercial insurance brokerage and client risk analytics, including CAT modelling, casualty loss modelling, cyber threat analysis, and benchmarking.
• Ability to translate complex analytical, actuarial, and risk-modelling methods into intuitive and repeatable products for brokers and clients.
• Excellent stakeholder management and communication skills, with the ability to influence senior business leaders and align cross-functional specialists around a shared vision.
• Technical fluency in modern data platforms, APIs, analytics workflows, visualization, statistics, data science, and AI concepts.
• Excellent stakeholder management and communication skills across technical and…