Product Manager, Data

Air CanadaDorval, QC

About The Position

The Data Product Manager defines, prioritizes, and oversees data product roadmaps for their respective domain, with a strong emphasis on enterprise data warehouse assets. This key role drives our data product vision with a focus on a continuous product delivery model and overall success.

Requirements

  • Bachelor’s degree required (Master’s preferred), with a minimum 5 years of experience in data & analytics initiatives in a senior role (e.g., Product Management, Data Science, Business Intelligence, etc.).
  • Familiar with BI concepts, analytics, data platforms, and user testing to drive measurable outcomes.
  • Hands-on experience managing all stages of the product life cycle.
  • Creative thinker with an ability to define and execute on a vision, with flexibility to pivot, as required.
  • Strong communicator with an acute ability to bridge business stakeholders and technical know-how.
  • Strong quantitative and analytics skills, as well as business acumen and sound judgment
  • Independent self-starter with a can-do attitude and a curiosity to learn.
  • Outstanding communication, presentation, and leadership skills.
  • Demonstrate punctuality and dependability to support overall team success in a fast-paced environment.

Nice To Haves

  • preference will be given to bilingual candidates.

Responsibilities

  • Set the vision, roadmap, and prioritization for data-driven initiatives.
  • Lead and influence to drive outcomes in a cross-matrix team.
  • Define, Prioritize, and Manage data product backlog and work with the development agile delivery teams.
  • Analyze business needs, translate them into clear requirements and ensure data solutions meet stakeholders needs.
  • Act as a link between stakeholders and teams by tracking delivery progress and report on key milestones to the leadership team.
  • Develop innovative and effective approaches to solve business problems through data analytics.
  • Actively communicate results and methodologies.
  • Understand and document data dependencies, business rules and data flow diagrams of the solution developed, e.g. between source and systems consuming the data, as well as the logical processes and interfaces with other systems.
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