Technical Project Manager - Analytics

6-month contract Project Manager role working with an enterprise organization supporting the build of an end-to-end analytics solution.

• 6-month contract Project Manager role
• Supporting the delivery of an analytics program
• On site work environment, 4 days a week in office

Our enterprise client is looking for a Senior Technical Program Manager to lead end-to-end delivery of complex data platform programs primarily supporting call center operations, reporting, and analytics. You’ll drive execution across Snowflake, Azure Data Factory, and Power BI, coordinating delivery across Salesforce Service Cloud, digital channels, and data ingestion pipelines. Working in ambiguous, high-complexity environments, this role defines program scope, establishes governance frameworks, manages technical risk, and ensures data readiness for both operational reporting and AI-driven capabilities.

The role sits at the intersection of data engineering, analytics, and AI enablement, requiring both technical depth and strong cross-team program leadership.

This client is one of the most recognizable Canadian brands, a true Vancouver success story who has expanded globally. They are well known for their corporate culture and has won major awards for their accomplishments. They have invested majorly in technology and have had an incredibly successful past few years, including a major strategic acquisition. They have an all-star leadership team who keeps you accountable and provides support while still affording you tremendous autonomy.

They are located close to rapid transit in newly renovated offices in downtown Vancouver and have a on site work environment, 4 days a week in office.

• 6–12+ years of experience in Technical Program Management, data engineering delivery, or a related technical discipline, with a track record of leading complex, multi-team data platform initiatives
• Deep hands‑on experience with Snowflake (data modeling, view creation, performance optimization), advanced SQL, and Azure Data Factory pipeline orchestration
• Strong understanding of data pipeline architecture, ETL workflows, and integration patterns across APIs, Kafka, and enterprise systems including Power BI reporting layers
• Experience establishing data governance practices — including data quality, lineage, and ownership — and managing dependencies across platform modernization and downstream AI or reporting use cases

This role pays between $90-100 per hour.