Project Overview

Supply Ontario is implementing the Collibra Data Intelligence Platform end-to-end, driving it into production at enterprise-grade quality while ensuring responsible technology adoption through architecture artefacts, ARB gates, Threat Risk Assessment, Privacy Impact Assessment, and enterprise standards.

Key Responsibilities

- owning the end-to-end delivery plan and driving the initiative to Iteration 1 production go-live and beyond;
- working backwards from the target production date to sequence development and ETL completion, integration and configuration, UAT/QA, TRA and ARB approvals, cutover and early-life support,
- producing and defending realistic, evidence-based estimates, and challenging optimistic or unsupported timelines wherever they arise;
- driving completion of critical milestones across all parties - internal teams, vendors and partners, not merely reporting on them
- ensuring full technical due diligence for responsible adoption: architecture artefacts, ARB gates, Threat Risk Assessment (TRA), security and privacy assessments, and enterprise production-readiness criteria
- ensuring the solution meets Enterprise Technology standards, policies, architectural decisions and data sensitivity requirements
- supporting the Data and Analytics team as business owners of the platform, while holding the solution to appropriate Security and Technology standards
- establishing and enforcing a single authoritative source of truth for requirements and user stories,
- operationalizing the agreed RACI and guarding accountability boundaries so responsibilities are not silently shifted
- leading vendor and partner engagement, holding them to scope, deliverables and timelines, and catching misalignment early
- reporting status,



risk and required decisions honestly and clearly to senior leadership, and
- driving delivery discussions toward facts and ownership, what is missing, who owns it, when it will be resolved.
- ensure core outcome: a governed, production-ready and sustainable Collibra implementation that is delivered through clear technical project management, completed due diligence, validated readiness, and accountable transition to business and operational ownership.
- produce integrated technical project plan, milestone roadmap, sequencing dependencies, critical path, cutover approach, and early-life support plan.
- produce requirements traceability, delivery backlog, acceptance criteria, dependency map, and validated delivery scope aligned to business and technical readiness.
- produce implementation plan, delivery governance, RAID/decision logs, and executive reporting.
- configure Collibra operating model, workflows, roles, responsibilities, and access model.
- deliver metadata ingestion, catalogue, glossary, lineage, data quality, and priority-domain onboarding outputs.
- produce integration specifications, testing approach, release readiness, and production sign-off.
- conduct stakeholder engagement, communications, training coordination, readiness tracking, knowledge transfer, and transition materials to support adoption and operational handover.
- establish operational support model, support procedures, documentation, production handover package,



and post-go-live stabilization tracking.

Qualifications & Requirements

REQUIRED

- Must be able to work 3 days onsite per week
- 7–10+ years of hands-on technical project management experience leading enterprise technology, SaaS, data platform, or complex system implementation initiatives from planning through production go-live.
- Demonstrated ability to work backwards from the target production date to sequence development and ETL completion, integration and configuration, UAT/QA, TRA and ARB approvals, cutover, and early-life support.
- Proven ability to produce and defend realistic, evidence-based estimates, and to challenge optimistic or unsupported timelines wherever they arise.
- Experience implementing or operating Collibra, data intelligence, metadata management, data catalogue, data quality, lineage, or comparable platforms.
- Robust understanding of data governance operating models, workflows, stewardship, ownership, and decision rights.
- Ability to translate business and technical needs into executable project scope, requirements, milestones, dependencies, acceptance criteria, risks, decisions, and delivery outcomes.
- Experience coordinating SaaS platform configuration, integrations, testing, releases, and operational transition.
- Strong vendor, stakeholder, executive communication, facilitation, dependency management, escalation, and decision-management skills.
- Ability to operate effectively in complex, multi-stakeholder, regulated environments.

NICE TO HAVE

- Public Sector Experience (Preferred)

Key Skills & Competencies

Collibra, Data Intelligence, Metadata Management, Data Catalog, Data Quality, Data Lineage, ETL, SaaS, Data Governance

📌 Technical Project Manager — Collibra Data Intelligence Platform (Toronto)
🏢 GovTech Talent Solutions
📍 Toronto