Director, Data Operations & Analytics
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Key skills for this role
Role Overview
The Director will build the Data Operations & Analytics function and establish how data operations and analytics work together.
The role bridges business needs with data engineering, data science, product, actuaries, and the AI adoption function.
The director will lead data operations and analytics and merchant and partner reporting teams.
Key Skills for This Role
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The Company
Cover Genius provides embedded protection infrastructure across more than 60 countries and all 50 United States.
The company is developing an AI-first roadmap involving personalization, agentic distribution, and automated claims infrastructure.
About the Role
The Director will build the Data Operations & Analytics function and establish how data operations and analytics work together.
The role bridges business needs with data engineering, data science, product, actuaries, and the AI adoption function.
The director will lead data operations and analytics and merchant and partner reporting teams.
Key Responsibilities
- Lead data operations, analytics, merchant reporting, and partner reporting teams.
- Define trusted metric meanings, sources of truth, ownership, and business-approved logic.
- Own governance documentation, definition standards, and change control for the semantic layer.
- Own the internal BI tool, drive adoption, support self-service dashboards, and train users.
- Own reporting accuracy, reconciliation, and regulatory reporting for merchants and partners.
- Instrument OKRs with accurate tracking and ensure domains have the data assets needed to measure progress.
- Use data, AI, and automation to reduce manual work and replace ad hoc spreadsheets.
- Grow the team, create career paths, and improve data literacy across the business.
Skills and Experience
- 10+ years in data or reporting operations, including 4+ years leading managers.
- Experience resolving ownership and accountability gaps across technical and business teams.
- Fluency with dbt, BigQuery, semantic layers, and BI tools.
- Experience defining metrics and governance across multiple data teams.
- Ability to present data strategy and risk to C-suite and cross-functional leadership.
- Experience building multi-team roadmaps and coordinating work through clear ownership and follow-through.
Preferred Experience
- Insurance, insurtech, fintech, or other regulated data-heavy industry experience is a plus.
- Experience supporting actuarial or underwriting teams or running fraud or risk analytics is a plus.
Working Style
- Move between executive strategy conversations and technical discussions with data engineering without owning the technical decision.
- Take ownership of unresolved problems, unclear ownership, poor requests, and broken reporting.
- Build trust and alignment through influence and show the shared benefit of proposed changes.
- Turn ambiguous cross-system problems into clear frameworks and independently drive workable solutions.
Why Cover Genius
- Benefits include flexible paid time off, employee stock options, and peer recognition and rewards programs.
- The company supports social initiatives and a collaborative team environment.
Compensation
- Cash compensation is listed as CAD 195,000–245,000 base salary.
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