Job Description

RQ09729 - Sr. Information Management Specialist

Dwontown, Toronto (Jarvis St)

Hybrid: 3 Days onsite / 2 days remote

- From October 20, 2025, the candidate is required to work onsite 4 days a week and 1 day from home

- From January 5, 2026, the candidate is required to work onsite 5 days a week fully

Contract 6+ months, possible extension

Information Management Specialist to support the development of the Enterprise Data Governance Program. This role will focus on the creation of enterprise-wide data standards, policies, and guidelines to support the development of common data products (e.g., Business 360). The ideal candidate will have a strong understanding of data governance principles, data modeling, and metadata management, and will be skilled in translating technical and business requirements into clear, actionable policy instruments.

Provide expert knowledge of information management best practices, approaches and trends as it relates to structured and unstructured information in support of Ministry and Cluster clients.

Thorough knowledge of the information lifecycle to provide practical information analysis, expertise and advice.

Must Haves:

• Experience in developing business and records classification schemes using functional classification
• Knowledge of Enterprise Content Management/Records and Document Management solutions
• Assessing and conducting business analyses to establish data and information management needs pertaining to different domains of Enterprise Information Management, including analysis of business and technical requirements related to data capture, transformation, and use
• Developing data classification schemes for a wide range of data classification and metadata management functions (i.e., data quality, data criticality, data sensitivity, data interoperability, etc.);
• Assessing metadata requirements and developing metadata schema, standards, and management protocols;
• Knowledge of and experience in applying recognized national and international standards in Enterprise Information Management; and
• Knowledge of and development of controlled vocabularies, ontologies, taxonomies, canonical data models, and thesauri for enterprise use;
• Applying data governance frameworks (e.g., DAMA-DMBOK), data lifecycle principles, and metadata management practices.
• Drafting enterprise-ready policy instruments (e.g., data standards, guidelines, etc.) that are computationally governable to streamline data management activities for both the development of specific data products and managing data at source;

Nice-to-Have:

• Experience in developing canonical data models and complementary data instruments (e.g., policies, standards, guidelines, procedures, etc.)