Pay Range: CAD 70-80/hr Experience: 12 Years+ We are looking for a Technical Project Manager to work directly with the engineering team supporting our Data Products| Data Fabric| Data Portal| metadata| and agent AI enablement work.This is a true delivery PM role. The person needs to be embedded with the engineering team day-to-day| helping organize Jira| clarify priorities| track sprint progress| manage dependencies| and make sure the team is focused on the right work.Key responsibilitiesOwn and maintain the teams Jira structure| backlog| sprint board| epics| stories| dependencies| and delivery tracking. Work directly with engineers| TALs| architects| product owners| and business stakeholders to clarify scope and priorities. Ensure engineering work is properly broken down| sequenced| assigned| and progressing against committed timelines. Run delivery routines including sprint planning| backlog grooming| standups| RAID tracking| status updates| and escalation management. Track blockers| risks| dependencies| and decisions across Data Products| Data Portal| metadata| and agent-related work. Help translate business or product asks into clear engineering deliverables and acceptance criteria. Keep leadership informed on progress| risks| trade-offs| and priority conflicts. Drive accountability and follow-through without needing to be the technical decision-maker. Required backgroundStrong technical PM delivery PM experience working directly with engineering teams. Strong Jira Agile delivery management experience. Working knowledge of AWS and cloud-based data platforms. Familiarity with Data Fabric| Data Products| metadata| data catalog Data Portal concepts. Basic understanding of AI agents| LLMs| RAG| semantic layers| or knowledge graphs. Ability to operate in ambiguity| create structure| and keep teams aligned on priorities. Ideal candidateSomeone who is highly organized| delivery-focused| technically fluent| and comfortable sitting with engineers every day to keep work moving. They do not need to code| but they need to understand enough about AWS| data platforms| data products| and agents to ask good questions| identify gaps| and ensure the team is executing against the right priorities.