RQ09729 - Sr. Information Management Specialist

Source Code; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Source Code in Canada is seeking an Sr. Information Management Specialist to support the Enterprise Data Governance program.

The role focuses on creating enterprise-wide data standards, policies, and guidelines to support the development of common data products and metadata management. The ideal candidate will have strong knowledge of data governance principles, data modeling, and metadata management, and will translate technical and business requirements into actionable policy instruments to

Qualifications

• Experience developing business and records classification schemes.
• Knowledge of Enterprise Content Management/Records systems.
• Experience translating business requirements into data governance policies.
• Developing data classification schemes and metadata management processes.
• Knowledge of national/international standards in Enterprise Information Management.
• Creating controlled vocabularies, ontologies, taxonomies for enterprise use.
• Applying data governance frameworks (DAMA-DMBOK) and metadata practices.

Responsibilities

• Develop enterprise-wide data standards, policies and guidelines.
• Translate technical and business requirements into computable policy instruments.
• Support the development of data products and data at source within governance.
• Provide expert knowledge on information lifecycle and metadata management.
• Draft enterprise-ready policy instruments to streamline data management activities.

Skills

Data governance

Enterprise content management

Metadata management

Data modeling

Policy drafting

Ontologies / taxonomies

DAMA-DMBOK

Job description

RQ09729 - Sr. Information Management Specialist

About the job RQ09729 - Sr. Information Management Specialist

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

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.)