Technical Project Manager

Job Title: Technical Project Manager - Collibra Data Intelligence Platform

Location: Toronto, Ontario, Canada

Work Model: Hybrid

Duration: 12 months

Must Haves

• 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.

Description / Responsibilities / Skills

Description

• This role is accountable for delivery outcomes, not simply for tracking them.
• The Technical Project Manager owns the plan, drives execution across every team, vendor and partner involved.
• Measured on whether the platform reaches production responsibly with architecture artefacts, ARB gates, TRA, PIA and enterprise standards satisfied, not bypassed.
• Due diligence is not administrative overhead in this role. It is the core of what responsible technology adoption means.
• The role is focused on the technical elements of delivery and on ensuring the solution meets agency IT and Security standards.
• The Data and Analytics team are the business owners of this platform and service.

Core outcome

• A governed, production-ready and sustainable Collibra implementation delivered through clear technical project management, completed due diligence, validated readiness, and accountable transition to business and operational ownership.

Experience & Skill Set Requirements

Required Skills (non-duplicate criteria)

• Strong 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.

Accountabilities / Role Responsibilities (unique delivery obligations)

• 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
• driving delivery discussions toward facts and ownership, what is missing, who owns it, when it will be resolved

Deliverables

• Integrated technical project plan, milestone roadmap, sequencing dependencies, critical path, cutover approach, and early-life support plan.
• Requirements traceability, delivery backlog, acceptance criteria, dependency map, and validated delivery scope aligned to business and technical readiness.
• Implementation plan, delivery governance, RAID/decision logs, and executive reporting.
• Configured Collibra operating model, workflows, roles, responsibilities, and access model.
• Metadata ingestion, catalogue, glossary, lineage, data quality, and priority-domain onboarding outputs.
• Integration specifications, testing approach, release readiness, and production sign-off.
• Stakeholder engagement, communications, training coordination, readiness tracking, knowledge transfer, and transition materials to support adoption and operational handover.
• Operational support model, support procedures, documentation, production handover package, and post-go-live stabilization tracking.