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Remote Data Governance Specialist

Remote / Online - Candidates ideally in
Moncton, New Brunswick, Canada
Listing for: Bilinguallink
Remote/Work from Home position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Analyst, Information Security & Data Protection, Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 120000 - 150000 CAD Yearly CAD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

Do you thrive in environments where influence, curiosity, and data come together to drive real business impact?

We're partnering with a fast-growing, Toronto-based SaaS organization that’s redefining how companies approach financial planning and analytics. As they continue to invest in Data & AI, they're looking for a Data Governance Specialist who can help shape how data is trusted, structured, and leveraged across the business.

This is not a checkbox governance role. It's a high-impact, highly visible opportunity to build relationships across teams, influence how data is created and used, and help lay the foundation for AI-ready data in a modern, evolving environment.

Who You Are
  • You're someone who doesn't just understand data, you understand people.
  • You're naturally curious, comfortable navigating ambiguity, and confident asking the kinds of questions that uncover gaps others miss.
  • You can move between business and technical conversations with ease, translating data challenges into practical, scalable solutions.
  • You're not waiting for direction, you're creating it.
Work Type
  • Location:

    Toronto, ON (Remote)
  • Vacancy Type:
    This role is a newly created position
What You’ll Do
  • Partner with business and technical teams to establish and operationalize data governance practices
  • Influence how data is defined, captured, and used across multiple lines of business
  • Drive improvements in data quality, integrity, and consistency through root cause analysis and stakeholder collaboration
  • Define and maintain data definitions, metadata, and lineage to ensure transparency and trust
  • Support the rollout and adoption of data governance tools (e.g., cataloging, data quality platforms)
  • Help shape AI-ready data practices, ensuring data is structured, complete, and fit for advanced analytics
  • Embed governance standards into day-to-day workflows- not just policies on paper
  • Contribute to data privacy, compliance, and risk mitigation efforts
  • Establish visibility into data health through metrics, monitoring, and reporting
  • Act as a key driver in building a culture where data is treated as a strategic asset
What We’re Looking For
  • 4+ years of experience in data governance, data management, or similar data-focused roles, with the ability to drive initiatives and influence stakeholders
  • Experience supporting or implementing data governance frameworks and stewardship models
  • Strong understanding of data cataloging, lineage, and data quality principles (tools like Collibra, Informatica, Alation are assets)
  • Ability to influence stakeholders across business functions- this role is as much about communication as it is about data
  • Experience working with modern data platforms (e.g., Snowflake, Databricks, or cloud ecosystems like AWS/Azure/GCP)
  • Exposure to data privacy and regulatory standards (GDPR, CCPA, etc.)
  • Strong analytical mindset with the ability to turn ambiguity into structured solutions
  • Experience supporting or preparing AI-ready data for analytics or ML use cases
  • A proactive, self-starter mentality with the ability to operate independently and drive initiatives forward
  • Comfort working in fast-paced environments where priorities evolve and clarity is built along the way
What Makes This Role Exciting
  • Real Influence, Not Just Oversight:
    You won't just enforce governance, you'll shape how the business thinks about data across teams.
  • Build Something That Lasts:
    This is a newly re-established function, giving you the opportunity to help define frameworks, practices, and long-term strategy.
  • AI-Driven Future:
    Play a key role in ensuring data is structured and ready to support growing AI and machine learning initiatives.
  • High-Trust, No-Red Tape Environment:
    Bring ideas forward, test them, and iterate quickly - without layers of bureaucracy slowing you down.
  • P…
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