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Staff Data Product Manager

Lightspeed Commerce

Montreal

On-site

CAD 100,000 - 130,000

Full time

Today
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Job summary

A tech-driven company in Montreal is seeking a Staff Data Product Manager to lead their Data Platform and Data Architecture. This role involves shaping the long-term vision and strategy, developing a prioritized roadmap, and collaborating with technical teams to enhance data capabilities. The ideal candidate will have over 5 years of experience and a passion for leveraging data to drive innovation within the organization.

Benefits

Equity for all employees
Flexible work culture
Growth opportunities
Innovation time
Cultural and technical committees

Qualifications

  • 5+ years of product management experience with focus on data platforms.
  • Strong understanding of modern data architecture.
  • Ability to translate business goals with technical requirements.

Responsibilities

  • Develop and articulate a compelling vision for the data platform.
  • Create and maintain a prioritized product roadmap.
  • Translate technical and business requirements into actionable specifications.
  • Collaborate with data architects to design and evolve data architecture.
  • Drive cost optimization and performance initiatives.
  • Communicate platform strategy to stakeholders.

Skills

Product management experience
Data architecture knowledge
Analytical skills
Excellent communication skills
Passion for data

Tools

GCP
AWS
Azure
Job description

We’re seeking a sharp Staff Data Product Manager to lead our Data Platform and Data Architecture. You’ll shape the vision, strategy, and roadmap, and ensure delivery. Treat our internal data capabilities as a product to empower data engineers, data scientists, analysts, and business users to maximize value from data.

The ideal candidate understands today’s data landscape and can drive platform-level innovation that helps the entire business use data effectively. This is a high-impact role to build a scalable, reliable, secure, and fast data foundation that enables smart, data-driven decisions and continuous innovation.

Note: As a global company with employees and clients outside of Quebec, fluency in English as a working language is required for this position.

Responsibilities
  • Define & Evangelize Vision: Develop and articulate a compelling long-term vision and strategy for the data platform and architecture, ensuring alignment with overall business objectives and future growth.
  • Strategic Roadmap & Prioritization: Create and maintain a clear, prioritized product roadmap for platform features, infrastructure enhancements, and architectural initiatives, balancing immediate needs with long-term strategic goals.
  • Internal Customer Empathy: Deeply understand the needs, pain points, and workflows of our internal data consumers to inform platform development.
  • Requirements Definition: Translate complex technical and business requirements into clear, actionable product specifications, user stories, and acceptance criteria for engineering teams.
  • Architectural Leadership: Partner with data architects and engineering leads to design and evolve our data architecture, incorporating best practices like Medallion Architecture and foundational concepts like Data Contracts, ensuring scalability, security, and reliability.
  • Technology Evaluation & Innovation: Stay abreast of industry trends, emerging technologies, and best practices in data platforms, data warehousing, data lakes, and data architecture to identify opportunities for continuous improvement and innovation.
  • Performance & Cost Optimization: Drive initiatives to optimize performance, cost-efficiency, and scalability of the data platform, ensuring it meets evolving demands.
  • Stakeholder Communication: Effectively communicate platform strategy, progress, and value to a wide range of technical and non-technical stakeholders across the organization.
Required Qualifications
  • 5+ years of experience in product management, with 2+ years focused on data platforms, infrastructure, or analytics products.
  • Strong understanding of modern data architecture concepts (e.g., data lakes, warehouses, lakehouses, streaming, ETL/ELT, etc.).
  • Ability to bridge business goals with technical requirements and communicate clearly to both audiences.
  • Excellent communication and presentation skills.
  • Experience with data governance, quality frameworks, and compliance practices.
  • Strong analytical and problem-solving skills.
  • Passion for data and a desire to drive innovation.
  • Knowledge of cloud-based data platforms (e.g., GCP, AWS, Azure).
What’s in it for you
  • Join a growing team and help us move to the next level
  • Amazing benefits & perks, including equity for all Lightspeeders
  • Constant development of both your skill-set and business acumen with limitless growth opportunities
  • Lots of autonomy, flexible work culture
  • Innovation time to explore and learn at work
  • Shaping the company by joining cultural & technical committees
  • Tons of growth opportunities into technical or people management roles
  • Opportunity to join a fast-paced, high-growth company
  • Opportunity to learn, expand your skill set, forge wonderful relationships and make your mark within the Lightspeed family

Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal, and our ethos is inclusion from the beginning.

Lightspeed is a proud equal opportunity employer with accommodations available on request for candidates taking part in the selection process.

Where to from here?

We want this to be mutually beneficial: a role you love and a workplace you’re proud to contribute to every day. For a glimpse into our world, check out our career page here.

Lightspeed is building communities through commerce, and we encourage applications from diverse backgrounds. We are headquartered in Montréal, Canada, and serve customers in over 100 countries.

This posting includes the standard application fields and notes for applicants.

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