A Note on the VOR Master Service Agreement:
The VOR Master Service Agreement expires on April 5, 2027, and includes a six (6)-month survival clause, allowing the Statement of Work (SOW) to continue, if operationally required, until October 5, 2027. Extension(s) are only allowed using unused days and/or funds remaining on the contract. No additional funds will be added beyond the maximum contract value and any extension options included in the original SOW. JTS may exercise its option(s) to extend the SOW beyond April 5, 2027, in accordance with the survival clause.
The start date is subject to change based on security clearances and contract signing timelines.
Experience and Skillset Requirements
Mandatory Requirements
1. Business Analysis Experience
- Minimum 8 years as a Business Analyst supporting medium to large enterprise projects.
- At least 5 years leading end-to-end requirements across business, functional, data, and reporting domains.
- Experience with:
- Requirements traceability, gap analysis, and change impact assessment
- Agile delivery tools (e.g., Azure DevOps, JIRA)
2. Data Management & Governance
- Minimum 5 years applying data management frameworks in complex environments, including:
- Data lifecycle and governance
- Metadata management and data quality
- Experience supporting standardized, controlled data practices across enterprise systems.
3. Data Analysis, Mapping & Integration
- Strong experience (5+ years) in:
- Analyzing and documenting data structures, flows, and lineage
- End-to-end data mapping and validation rules
- Knowledge of enterprise data architecture and integration patterns, including:
- Data pipelines and interoperability
- Impacts to analytics, reporting, and downstream use
Desired Skills and Experience
1. Business & Data Requirements
- Lead end-to-end requirements gathering across ministry and justice partners.
- Document and validate:
- Business, functional, non-functional, data, integration, and reporting requirements
- User stories, acceptance criteria, and business rules
- Ensure requirements are clear, prioritized, and aligned with data acquisition and governance objectives.
2. Data Analysis, Modelling & Mapping
- Analyze current-state (including non-relational) data and document key elements.
- Define target relational data structures, including:
- Entities, relationships, and normalized tables
- Primary and foreign keys aligned to business domains
- Develop:
- Source-to-target mappings (column-level)
- Transformation logic (analytics-ready / SQL-ready)
- End-to-end data traceability
3. Process, Data Flow & Integration
- Produce core artifacts:
- Process maps and workflows
- Data flow diagrams and data models
- Integration and interface requirements
- Identify data flows, integration points, and system dependencies.
- Support solution design by ensuring requirements are feasible and aligned with architecture.
4. Data Standards, Governance & Quality
- Develop and maintain:
- Data definitions, business rules, and data dictionary
- Naming conventions and metadata standards
- Align deliverables with ministry data governance frameworks.
- Support design of data management processes (intake, validation, quality controls).
- Maintain requirements traceability and support validation to ensure datasets are accurate, complete, and analytics ready.
Business Analysis & Delivery
- Proven experience leading business analysis activities on large, complex, multi-stakeholder digital projects.
- Strong ability to translate business needs into clear, structured, and actionable requirements.
- Experience producing key BA artifacts, including:
- Business and functional requirements
- Process maps and workflows
- Data flow diagrams and specifications
- Experience working in Agile delivery environments (Scrum/Kanban) using tools such as Azure DevOps or JIRA.
Data Analysis & Technical Knowledge
- Solid understanding of relational data modeling and data warehousing concepts.
- Knowledge of data transformation processes (ETL/ELT) and analytics-ready dataset design.
- Experience defining business rules and data logic to support reporting and analysis.
- Familiarity with:
- Enterprise data platforms (e.g., Azure, Databricks)
- Relational databases (e.g., Oracle, Azure SQL)
- Understanding of large datasets, data structures, and integration concepts.
Data Governance & Quality
- Knowledge of data governance principles, including:
- Data quality and validation
- Metadata management and data standards
- Experience supporting standardized data definitions and consistent data practices across systems.
Communication & Facilitation
- Strong communication and documentation skills, with the ability to tailor messaging to technical, business, and executive audiences.
- Proven facilitation skills to lead workshops and discussions with diverse stakeholder groups.
- Ability to synthesize complex information into clear and concise outputs.
Professional Attributes
- Strong analytical and problem-solving skills.
- Ability to work independently and collaboratively in fast-paced, multi-stakeholder environments.
- High attention to detail and commitment to quality.
Sector Knowledge (Asset)
- Experience or familiarity with justice, policing, or corrections data, is an asset.
Resumes Evaluation/Criteria:
Criteria 1: Business Analyst Skills – 40 Points
- Proven experience leading business analysis activities on large, complex, multi-stakeholder digital projects.
- Strong ability to translate business needs into clear, structured, and actionable requirements.
- Experience producing key BA artifacts, including:
- Business and functional requirements
- Process maps and workflows
- Data flow diagrams and specifications
- Experience working in Agile delivery environments (Scrum/Kanban) using tools such as Azure DevOps or JIRA.
- Ability to work independently and collaboratively in fast-paced, multi-stakeholder environments.
Criteria 2: Technical & Data Skills – 40 Points
- Solid understanding of relational data modeling and data warehousing concepts.
- Knowledge of data transformation processes (ETL/ELT) and analytics-ready dataset design.
- Experience defining business rules and data logic to support reporting and analysis.
- Familiarity with:
- Enterprise data platforms (e.g., Azure, Databricks)
- Relational databases (e.g., Oracle, Azure SQL)
- Understanding of large datasets, data structures, and integration concepts.
- Knowledge of data governance principles, including:
- Data quality and validation
- Metadata management and data standards
- Experience supporting standardized data definitions and consistent data practices across systems.
- Strong analytical and problem-solving skills.
- High attention to detail and commitment to quality.
Criteria 3: Communication Skills – 15 Points
- Strong communication and documentation skills, with the ability to tailor messaging to technical, business, and executive audiences.
- Proven facilitation skills to lead workshops and discussions with diverse stakeholder groups.
- Ability to synthesize complex information into clear and concise outputs.
Criteria 4: Public Sector Experience – 5 Points
- Previous experience working in Government or Public Sector organizations.
- Experience or familiarity with justice, policing, or corrections data, is an asset.
Knowledge Transfer
What needs to be KT
- Documentations of all type assigned for this role
To whom
- Project Manager/Team Members
When
- 1:1 meetings / team meetings / documentation on SharePoint site, throughout the duration of the project life cycle etc.
