RQ09729 - Information Management Specialist - Senior

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.
  


• Example: 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
  


• Planning and implementation of information management strategic goals and priorities; and
  


• Knowledge of and experience in applying methodologies, standards and principles in the discovery, identification, and classification of information and data assets.
  


• Communication & Customer Service:
  




• Effective in writing and drafting a wide range of policy instruments suitable for a wide range of audiences and users (including both technical and non-technical audiences);
  


• Strong presentation skills, with proven experience preparing presentations, slide decks, and attractive visuals for a range of audiences (from executives to front-line staff);
  


• Collaborating with business analysts, business architects, business intelligence specialists, data architects, data conversion specialists, database administrators, information architects, project managers, training specialists, web specialists and any other individuals as required; (MUST HAVE)
  


• Relationship management between ministry clients and the OPS I&IT organization; and
  


• Participating in Enterprise Information Management-related committees, working groups, etc.;
  


• Analysis & Problem Solving:
  




• Supporting business, information, and data architecture in developing consumption-oriented data sets and tools to support both operational and analytical business needs and priorities
  


• Developing and tracking Enterprise Information Management performance measures;
  


• Conducting policy research and analysis skills to support development of policy deliverables and tools that enable implementation of Enterprise Information Management programs and practices across the organization
  




• Example: Environmental/jurisdictional scans, business and information architecture, legislation and policy documentation, business process mapping, maturity assessments.
  

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.)
  

Requirements

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;