Technical Product Owner (CDI)

Requirements

• Graduated from a Business or Engineering school with a specialization in Computer Science, Data science or Engineering
• 3-5 years’ experience in project or product management in a data-driven environment
• Exposure to Finance, Risk, or Actuarial business domains is a significant asset
• Technical Expertise: Advanced SQL and dbt (data build tool) : modeling, testing, documentation, lineage; experience with a BI tool such as Looker Studio / Data Studio; Basic knowledge of Python
• Technical Project & Product Management Skills: Ability to manage, with a vision on business value, complex technical projects with contributors from multiple teams
• Knowledge and prior experience in Agile methodologies (Scrum/Kanban). Creation and tracking of project/user KPIs
• Strong interpersonal skills and ability to work with both technical and non-technical profiles
• Ability to convey complex technical information in a clear and compelling manner
• Fluent in French and English
• Eager to learn more about the insurance industry
• Results oriented, high energy, with the ability to work in a dynamic and multi-cultural environment
• Excellent team player with an entrepreneurial mindset and value of diversity
• Strong desire to learn and commitment to the organization’s mission

What the job involves

• As part of the Product & Program team, we're looking for an individual to take on the role of Technical Product Owner with a strong Data & Analytics focus.
• This position combines the technical depth of an Analytics Engineer with the coordination and communication responsibilities of a TPO
• You will act as the key interface between business teams and our data & engineering teams, ensuring that the data we produce is reliable, well‑modeled, and directly usable in reporting tools
• You speak the same language as our Software, Data, and Devops Engineers: to understand the different components of a software system, you exchange very regularly with them to gather insight, understand needs and coordinate amongst the different engineering teams
• You understand and know our end‑users: beyond being completely fluent in software terminology and concepts, you also understand what the end‑users need to accomplish their missions
• You co‑define the project roadmap & manage a project backlog
• You guarantee smooth communication amongst the different engineering teams and end‑users, gathering feedback, tracking bug resolution and sharing a transparent backlog
• You carry the product vision within Descartes: you have to communicate internally about your products, their evolutions and the vision they carry
• You design and maintain data models in interaction with the data engineering team, respecting the business view of Finance, Risk, Actuarial and other business domains, following dbt best practices
• You streamline the data ecosystem by auditing legacy reports to integrate their logic into a high‑quality, SLA‑governed core data mart, while collaborating with business teams to replace manual workflows with automated dashboard
• You drive the adoption of modern data tooling across both Business Analysts, supporting them in building their analyses, and Data Analysts, overseeing their migration to new workflows
• You expand the data catalog by evaluating and onboarding new data sources into the data warehouse, ensuring they meet quality and integration standards before exposure to downstream consumers
• Your missions will evolve in the future as Descartes is growing fast and many exciting projects are waiting for you. It's a unique opportunity to take a closer look inside a fast‑growing scale‑up with huge ambitions!