RQ09729 - Information Management Specialist - Senior

Maarut Inc; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A data governance consulting firm in Toronto is seeking an experienced Information Management Specialist. This role will focus on developing enterprise-wide data standards and policies to support data governance initiatives. Candidates should have strong knowledge of data management principles and possess excellent skills in drafting policy instruments and collaborating with stakeholders. The position is ideal for those looking to impact enterprise data strategy in a dynamic environment.

Qualifications

• Must have experience in developing records classification schemes.
• Strong understanding of data governance principles.
• Ability to assess metadata requirements and develop standards.

Responsibilities

• Support the development of enterprise data governance program.
• Draft and organize policy instruments for data products.
• Contribute to data lifecycle management and governance initiatives.

Skills

Enterprise Information Management Knowledge

Data Governance Frameworks

Data Classification Schemes

Metadata Management

Job description

Position Summary

Position Summary: We are seeking an experienced 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.

Responsibilities

• Provide expert knowledge of Enterprise Information Management (EIM) best practices, methodologies, approaches and trends as it relates to the holistic strategic management of structured and unstructured information assets, in alignment with the broader OPS Enterprise Data Strategy.
• Draft and organize policy instruments (including but not limited to: policies, standards, guidelines, processes, procedures, etc.) to support enterprise data products, ensuring alignment with OPS Enterprise Data Strategy.
• Drafting standards and guidelines to support enterprise data products such as Business 360, including rules for data capture and transformation.
• Consult with technical and business stakeholders (e.g., developers, data architects, business analysts) to identify data rules and requirements for data capture, transformation, and integration.
• Support the classification and stewardship of Critical and Enterprise-Critical Data Elements (CDEs/ECDEs), including metadata and data quality requirements. (MUST HAVE)
• Contribute to the development of canonical data models, metadata schemas, and classification schemes to enable consistent and interoperable data across the enterprise.
• Provide guidance and support for data lifecycle management, including privacy, security, and retention practices.
• Participate in working groups and committees to advance enterprise data governance initiatives and promote adoption across the organization.

General Skills

• Enterprise Information Management Knowledge & Experience:
  • 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; (MUST HAVE)
  • Organizing & classifying data assets according to widely recognized industry standards, such as sensitivity, security, criticality, data quality, and data interoperability, etc.;
  • Developing business cases pertaining to information management;
  • Leading and/or coordinating information management-related initiatives;
  • Providing advice, guidance and support for information management-related initiatives;
  • Developing document management protocols, guidelines and best practices (e.g. business rules, naming conventions, version control, document labelling, etc.);
  • 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.); (MUST HAVE)
  • Assessing metadata requirements and developing metadata schema, standards, and management protocols; (MUST HAVE)
  • Assessing training and awareness needs, developing curricula and communications plans, and delivering training pertaining to information management awareness, concepts and principles to diverse audiences;
  • Providing routine advice and guidance on Enterprise Information Management concepts and principles
  • Knowledge of and experience in applying recognized national and international standards in Enterprise Information Management; and (MUST HAVE)
  • Knowledge of and development of controlled vocabularies, ontologies, taxonomies, canonical data models, and thesauri for enterprise use; (MUST HAVE)
• Enterprise Data Governance Knowledge & Experience:
  • Applying data governance frameworks (e.g., DAMA-DMBOK), data lifecycle principles, and metadata management practices. (MUST HAVE)
  • Establishing business processes to manage data assets throughout the data management lifecycle at both a tactical and operational level (including procedures to manage quality, interoperability, data sharing, security, controls, etc.).
  • 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; (MUST HAVE)
• Example: Developing standards to guide how business information is collected and transformed to support the development of a ‘business’ data products

Desirable Skills

• Experience in developing business and records classification schemes using functional classification
• Knowledge of Enterprise Content Management/Records and Document Management solutions
• Experience in developing canonical data models and complementary data instruments (e.g., policies, standards, guidelines, procedures, etc.)

Experience and Skill Set Requirements

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;