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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.
Job Responsibility
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
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
experience with a BI tool such as Looker Studio / Data Studio
Basic knowledge of Python
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
Nice to have
Exposure to Finance, Risk, or Actuarial business domains
What we offer
Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of a dynamic international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks