Senior Director of Data

The Company

Cover Genius is the global infrastructure for embedded protection. Active in over 60 countries and all 50 US States, we protect the customers of the world’s largest digital companies, including Klarna, Revolut, Stripe, Priceline, Agoda, , Turkish Airlines, Tongcheng Travel, eBay, and Uber, with seamless, end-to-end experiences. Cover Genius has protected more than 73M customers globally across 240M policies with USD $3.2BN in gross written sales.

Coming off a stellar year with 40% YoY revenue growth and a recent $100M capital raise, putting our valuation at $1.9BN, we are accelerating into our next phase of growth. As part of our team, you’ll help drive our AI-first roadmap, developing hyper-personalization engines, agentic distribution, and automated claims infrastructure, while building the scalable technology powering the fast-growing $70B embedded protection market.

As Senior Director of Data on our Technology team, you will own Cover Genius' data strategy end-to-end and act as domain lead for Data Products, accountable for its OKRs, roadmap, and delivery. You will work closely with our partnership teams to understand what partners need to see, and give them a clear view of how their insurance business is performing.

To drive success in this role, you will bring a genuine blend of commercial instinct, product judgement, and deep technical credibility — the breadth to lead a business domain, not just an engineering function. You will be as effective influencing at exec level, ours and our partners', as you are leading the engineers and analysts who report to you. Close collaboration with Engineering, Product, Data Science, Analytics, and our own commercial and partner-facing teams will be central to the role — ensuring data becomes a trusted, reusable foundation every other domain can build on with confidence.

You will treat AI as a first-class concern of the role — building a platform that AI workloads can trust, exploring AI-enhanced partner propositions, and driving AI-assisted ways of working within your own org.

• Work closely with our commercial and partner-facing teams to understand what partners actually need and want from our data, and help shape that into offers they find compelling.

• Set product direction for internal and partner-facing data products, partnering with the executive and senior leadership teams to define OKRs and roadmap, and own their execution.

• Own the data platform strategy and architecture end-to-end, ensuring it keeps pace as our data grows in volume, velocity, and variety — including the data foundations that AI/ML workloads across the business depend on.

• Drive adoption of the data platform across business domains, so Engineering, Data, and Product teams build their solutions on a shared data foundation.

• Build governance and data-quality frameworks that make our key data assets trustworthy.

• Develop a high-performing Data organisation where people love their work and grow into future leaders.

• 12+ years in data roles spanning platform, product and B2B partner-facing work, including 5+ years leading teams of managers and senior contributors — ideally in a regulated, high-growth B2B business.

• You are comfortable working alongside commercial and partner-facing teams, can hold your own in a partner conversation, and have a track record of translating what customers want into propositions that land.

• You have owned a roadmap, made hard prioritisation calls between platform investment and customer-facing delivery, and can explain the calls you got wrong.

• Strong record of partnering with Engineering, Product, Data Science, Analytics and other data consumers to turn data into a trusted, reusable foundation.

• Deep, hands-on architecture credibility on a modern cloud data stack — ideally GCP/Big Query, Airflow, dbt, and data observability tooling, including experience building and operating data platforms that serve AI/ML workloads.

• Proven record of establishing governance and data-quality frameworks that enable delivery rather than block it, and that are adopted across large…