Data Steward

At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.

The Data Steward plays a foundational role in advancing an organization’s data governance and management capabilities by ensuring that data is accurate, consistently defined, and easily accessible across the enterprise. Working collaboratively with both business and technical stakeholders, the Data Steward maintains metadata, enhances data quality, documents data lineage, and ensures better trust and usability of data assets. The role contributes to governance initiatives by assisting with data classification, implementing access controls, and supporting compliance with data retention and regulatory requirements.

It also governs unstructured data, improving organization and discoverability across platforms while reducing risk. Through active participation in governance tools and processes, the Data Steward reinforces policies, standards, and best practices. The position requires hands‑on data experience, including proficiency in SQL and familiarity with data platforms, along with strong analytical, documentation, and collaboration skills. This role is ideal for individuals early in their data governance career who are eager to build expertise and drive improved data reliability and literacy across the organization.

• Metadata & Documentation :
  Maintain and update metadata in the business glossary and data catalog. Work with business stakeholders to document clear and consistent data definitions. Support the organization in improving accessibility and understanding of key data assets.
• Data Lineage Support :
  Assist in documenting data lineage by reviewing SQL, dashboards, and data flows. Investigate how data moves across systems and support the validation of lineage diagrams.
• Data Quality Support :
  Work with Data Engineering and business teams to highlight and track data quality concerns. Assist in monitoring and reporting on data quality metrics.
• Data Classification & Data Access Support :
  Help maintain data classification tags within the catalog. Support the implementation of data access rules and assist teams in understanding access processes.
• Data Retention & Disposition Support :
  Implement and monitor data retention and disposition policies aligned with regulatory and business requirements. Assist in identifying and tagging data for retention schedules and track compliance.
• Unstructured Data Governance Support :
  Classify, organize, and govern unstructured data across platforms (e.g., SharePoint, Teams, shared drives). Promote consistent tagging, access controls, and best practices to improve discoverability.
• Policy & Standards Support :
  Assist in communicating and reinforcing data governance standards and procedures. Help ensure alignment with privacy, compliance, and regulatory requirements.
• Stakeholder Collaboration :
  Partner with data owners, data custodians, and technical teams to ensure the accuracy and consistency of metadata and data quality findings.
• Tools & Governance Platform Support :
  Support the use of data governance tools such as business glossaries, catalogs, and lineage systems.
• Training & Awareness Contribution :
  Assist in preparing training materials and knowledge‑sharing resources. Support workshops, documentation, and onboarding efforts.

• 3‑5 years of experience in data management, analytics, or data governance.
• Hands‑on experience working with data using SQL and Snowflake.
• Exposure to data governance tools (e.g., Collibra, MS Purview, Informatica, Alation) is an asset.
• Experience documenting data definitions or supporting data quality initiatives is an asset.
• Experience in the Financial Services industry is beneficial but not required.
• Degree or diploma in information management, business, data science, computer science, or a related field.

Technical Skills :
Working knowledge of SQL…