Senior Director of Data

Cover Genius

• $215K — $270K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years in data roles with a focus on platform, product, and B2B partner interactions.
  • 5+ years of leadership experience managing teams of managers and senior contributors.
  • Hands-on experience with a modern cloud data stack, particularly GCP/BigQuery, Airflow, and dbt.
  • Established record in creating and implementing governance and data-quality frameworks.
  • Practical knowledge of data security and privacy in regulated industries like insurance or finance.

Responsibilities

  • Collaborate with commercial teams to understand partner data needs and create compelling offerings.
  • Define product direction for internal and partner data products, establishing OKRs and owning execution.
  • Oversee end-to-end data platform strategy and architecture to accommodate growing data demands.
  • Promote adoption of the data platform across business domains for a unified data foundation.
  • Develop governance and data-quality frameworks ensuring trust in key data assets.
  • Foster a high-performing data organization that supports employee growth and development.

Benefits

  • Flexible work environment with hybrid scheduling and adaptable hours.
  • Opportunity to lead advancements in AI and data strategies.
  • Focus on personal accountability and ownership in outcomes.
  • Commitment to developing leaders within the data team.
  • Emphasis on a collaborative and supportive work culture.
Full Job Description
Application form

About the Role:

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.

Key Responsibilities:
  • 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.

What you will bring:
  • 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/BigQuery, 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 data-centric organisations.
  • Practical fluency in data security and privacy in a regulated context such as insurance or financial services.

What you will have:
  • Bias for action - you ship incremental improvements continuously rather than waiting for perfect conditions, act decisively, and hold a high bar for what "done" means.
  • Ownership without excuses - you take personal accountability for team outcomes, including the misses and talk about failures as candidly as wins.
  • Growth mindset - you share knowledge generously, learn from setbacks and have a track record of developing engineers and managers who go on to bigger roles.
  • Influence over authority - you push teams to think bigger and drive adoption of standards through credibility and clear reasoning, not mandate.
  • Partner and customer obsession - you're truly curious about Cover Genius' partners and trace every decision back to the customer experience or partner outcome it improves.

Flexible Work Environment - Our teams are hybrid. We work from home on a Wednesday and Thursday and attend the office on Monday, Tuesday and Friday with flexibility around start/finish times.

*This position offers a base salary compensation range of C$215,000 to C$270,000 annually.

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