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Product Manager (Data Platform & AI Platform)

Tecsys Inc.
Montréal, CAN
Full-time
Mid-Senior
Onsite
Discovered 2 weeks ago
Product managementData platformsData ingestion and pipelinesStreamingData integrationData modeling

Full Job Posting

About the role

Define strategy and drive delivery of data, analytics, and AI capabilities across a data platform and a customer-facing AI platform.

Own platform vision, roadmap, and execution, working with engineering teams and shaping AI-driven customer experiences.

About Tecsys

Tecsys provides supply-chain solutions to healthcare systems, hospitals, pharmacies, distributors, retailers, and third-party logistics providers.

The company describes its work environment as digital-first, with offices and collaborative workspaces; no specific remote or hybrid schedule is stated.

Responsibilities

  • Define and execute product strategy and roadmaps across data and AI platform domains.
  • Own data ingestion, streaming, transformation, integration, and analytics capabilities.
  • Lead data quality, governance, security, observability, and scalability direction.
  • Partner with engineering, architecture, and cross-functional teams to translate business needs into technical solutions.
  • Own delivery of customer-facing AI assistants, workflows, and intelligent tools.
  • Translate customer needs into scalable AI product experiences; gather feedback, measure adoption, and iterate.
  • Manage backlogs, prioritize work, write user stories, and support Agile delivery.
  • Conduct market research and competitive analysis; define success metrics and KPIs.
  • Contribute to go-to-market planning, communicate product vision, and balance near-term delivery with long-term investments.

Qualifications

  • At least 3 years of product management or similar experience in a technical software environment.
  • Strong understanding of data platforms, including pipelines, streaming, integration, modeling, governance, and analytics.
  • Experience with modern cloud data ecosystems; Databricks and AWS are preferred.
  • Familiarity with AI/ML product concepts, especially customer-facing copilots or intelligent workflows.
  • Ability to translate customer needs into product requirements, roadmaps, and deliverables.
  • Hands-on backlog management and close collaboration with engineering teams in Agile environments.
  • Strong communication, stakeholder management, collaboration, analytical, and problem-solving skills.
  • Track record of delivering products or features end to end.

Application notes

  • Applicants must be Canadian citizens, permanent residents, or hold a valid Canadian work permit.
  • The employer states that human reviewers assess applications and that interview assessments should represent candidates' own work.

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