Data Engineering Product Owner Job at JamLabs Data Science, Toronto, ON

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  • JamLabs Data Science
  • Toronto, ON

Job Description

About the Company

JamLabs is a Toronto-based firm founded by industry veterans, with deep roots in capital markets and cloud engineering. We partner with leading global financial institutions on projects like trade cost analytics, independent verification in derivatives, private equity, real-time analytics, and real-time enterprise data quality solutions. Our mission is to transform data into strategic assets for financial services firms, driving growth and innovation through tailored solutions.

About the Role

This role involves working closely with clients and engineering teams to translate complex financial workflows into clear requirements and user stories that drive production-ready products. It’s a chance to own impactful data products end-to-end, while collaborating with a highly technical team in an environment with minimal bureaucracy.

Responsibilities

  • Define, own, and manage the roadmap for external and internal data products (including monetizable platforms like DQ Hub).
  • Engage with clients in the alternative investments and institutional investor space to gather requirements, validate designs, and ensure product fit.
  • Translate business requirements (fund accounting, investor reporting, performance and risk analytics) into detailed product specifications such as user stories, data schema, and APIs.
  • Prioritize features, enhancements, and technical improvements, balancing client needs with long-term scalability.
  • Collaborate closely with engineering to ensure timely, high-quality delivery.
  • Monitor product performance and feedback to drive ongoing improvement.
  • Define and track success metrics for data products (uptake, performance, client satisfaction).

Qualifications

  • 5–8+ years in product management or product ownership, particularly with data or analytics platforms.
  • Agile/iterative product development experience.
  • Strong technical literacy (data pipelines, schemas, APIs, cloud environments).
  • Experience with monetizable data products or platforms.
  • Excellent communication and stakeholder management skills.
  • Direct experience and/or interest in financial services space, e.g. private equity, hedge funds, or pension funds.

Preferred Skills

  • Experience designing data monetization strategies, pricing models, or marketplaces.
  • Familiarity with compliance and reporting standards in alternative investments.
  • Experience with scalable cloud infrastructure.
  • UX/design sensibility.

Pay range and compensation package

Competitive compensation, performance bonus, flexible working hours. Training budget.

Equal Opportunity Statement

JamLabs Data Science Inc. offers a stimulating and hybrid work environment, competitive salary, and comprehensive benefits. We provide numerous opportunities for career advancement and skill development, particularly in the realm of consulting within the financial industry. If you are an experienced data engineer interested in high-impact consulting projects, we encourage you to apply.

Interested in Joining? Send your resume or LinkedIn profile, along with a brief note about a pipeline you're proud of, to careers@jamlabs.com with the subject line: “Data Engineer – [Your Name]”. We look forward to connecting with you!

Job Tags

Long term contract, Flexible hours,

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