to support the design and delivery of AI-enabled data and analytical products that empower data-driven decision-making.
Key Responsibilities
Facilitate workshops and requirements sessions with government departments and stakeholders.
Collaborate with Product Owners/Managers to define product roadmaps, technical feasibility, and dependencies.
Develop and present business cases and ROI analyses for proposed solutions.
Lead requirements gathering, documentation, and translation into actionable user stories and acceptance criteria.
Create detailed technical specifications and visual models (DFDs, BPMN, data models).
Maintain the Requirements Traceability Matrix (RTM).
Define and manage User Acceptance Testing (UAT) strategies.
Perform gap analysis, process re-engineering, and data product documentation.
Support sustainable data delivery frameworks and contribute to training and knowledge materials.
Bridge communication between vendors, clients, and clients technical team.
Prepare presentations, reports, and deliverables for executive stakeholders.
Deliverables
Weekly and monthly status reports.
Business analysis documentation, data models, RTMs, and UAT deliverables as required by the project.
Mandatory Qualifications
Experience
5+ years translating business requirements into detailed technical requirements in enterprise IT environments
4+ years creating flowcharts, process/data flow diagrams, user journey maps, etc.
5+ years client/stakeholder management and communication on complex data topics
4+ years implementing Information and Data Management frameworks
5+ years working with clients/stakeholders on business and technical solutions
Nice-to-Have Skills
4+ years with
cloud data management projects (Azure, Snowflake, etc.)
5+ years in
data analytics, visualization, or data science
initiatives
5+ years in
data management (ETL, data lineage, quality, governance)
4+ years understanding of
APIs, JSON/XML, and cloud platforms
5+ years
data transformation, wrangling, cleansing
5+ years
data privacy/security (de-identification, audits, synthetic data)
3+ years
Agile project delivery
and
Azure DevOps
3+ years
BI/data visualization tools
(e.g., Power BI, Tableau)
Proficiency in
data modeling, SQL, Python/R
for validation and profiling
Experience leading
AI/ML or Data Governance
initiatives
Work Location Notes:
The role is primarily remote, and work must be performed from within Canada for data and network security compliance.
Onsite attendance may occasionally be requested for strategic, architectural, or technical meetings with team members, senior leaders, and business clients.
Frequency: Up to 3-4 times per month, based on project needs.
Attendance at onsite meetings is optional and negotiable depending on the resource's location. Occasional on-site meetings at 7000 - 113 ST, Edmonton, AB, CAN T6H 5T6
Job Types: Full-time, Fixed term contract
Contract length: 4-12 months
Pay: From $94.00 per hour
Expected hours: 36.25 per week
Application question(s):
How many years of experience do you have translating business requirements into detailed technical requirements in an enterprise IT environment?
Please describe your direct, hands-on experience in data analytics, AI/ML, or cloud-based data management (Azure, Snowflake, etc.).
Have you contributed to the development or implementation of an Information and Data Management framework within an enterprise or government environment? (Yes/No; please provide details.)
Do you have experience working in an Agile delivery environment and using Azure DevOps for backlog management and requirement tracking? (Yes/No; please elaborate.)
Which data visualization or BI tools (e.g., Power BI, Tableau) and scripting or query languages (e.g., SQL, Python, R) are you proficient in?
* This role is primarily remote but may require occasional onsite meetings (up to 3-4 times per month) in Edmonton, AB. Are you able and willing to attend onsite meetings if required? (Yes/No)
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