The Technical Project Manager will lead a data architecture initiative, managing discovery phases, stakeholder engagement, and alignment of strategic recommendations for a modernized data ecosystem.
Overview
We are seeking an experienced Technical Project Manager to lead a high-impact data architecture initiative based out of Toronto. This role will focus on managing two critical workstreams: a Discovery & Assessment phase and the delivery of Strategic Recommendations to modernize and future-proof our data ecosystem.
You will work cross-functionally with data engineers, architects, business stakeholders, and executive leadership to assess the current state, identify gaps, and define the path forward.
Job Responsibilities
- Lead the planning, coordination, and execution of discovery and assessment efforts related to data pipelines, observability, governance, metadata practices, data ownership, and tooling.
- Facilitate stakeholder interviews and workshops with executive and technical teams to capture requirements and surface insights.
- Manage timelines and deliverables across a phased 18-week roadmap, ensuring high-quality and timely outcomes.
- Collaborate with data and analytics teams to assess readiness for Agentic BI and future-state enablement.
- Support the development and presentation of strategic recommendations and architecture blueprints.
- Coordinate the creation of frameworks, guidelines, and best practices for modern data platforms.
- Ensure clear documentation and communication across all phases of the project.
Basic Qualifications
- 4+ years of experience managing technical or data-focused projects, preferably within enterprise environments.
- Strong understanding of modern data infrastructure, governance models, and data engineering principles.
- Proven ability to manage cross-functional stakeholders across both business and technical domains.
- Exceptional organizational, communication, and problem-solving skills.
- Experience delivering complex strategic assessments with tangible outputs.
- Familiarity with Agentic BI, data product thinking, and data mesh concepts is a plus.
We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is hybrid in Toronto, with 2+ days per week spent in our downtown office. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
Top Skills
Agentic Bi
Data Architecture
Data Mesh
Data Ownership
Data Pipelines
Data Product Thinking
Governance
Metadata Practices
Tooling
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