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Swim RecruitingVerified Job Source

Technical Project Manager - Analytics

Expired

Lead the end-to-end delivery of complex data platform programs supporting call center operations, reporting, and analytics. Drive execution across various technologies while managing technical risks and ensuring data readiness.

  • Hybrid
  • Vancouver, BC
  • Posted Jul 10, 2026
  • Apply by Aug 9, 2026
  • 1 position

This job has expired

This position at Swim Recruiting is no longer accepting applications. The original posting remains below for reference.

Expired Aug 7, 2026

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Original job posting

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 What & Why: 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. Who: 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. You: You will bring the following education, skills and experience to the role: 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 Compensation: This role pays between $90-100 per hour. Next Steps: If the sound of this opportunity excites you, and you’re confident that it’s a good fit for your experience and career goals, then we’d love to hear from you! Please send your updated resume to us by applying to this posting and one of our awesome team of recruiters will be in touch.

What you’ll do

Lead the end-to-end delivery of complex data platform programs supporting call center operations, reporting, and analytics. Drive execution across various technologies while managing technical risks and ensuring data readiness.

Requirements

Candidates should have 6-12+ years of experience in Technical Program Management or related fields, with a strong track record in leading complex data platform initiatives. Deep hands-on experience with Snowflake, SQL, and Azure Data Factory is essential.

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Technical Program Management
  • Data Engineering
  • Snowflake
  • SQL
  • Azure Data Factory
  • Data Pipeline Architecture
  • ETL Workflows
  • APIs
  • Kafka
  • Power BI
  • Data Governance
  • Data Quality
  • Data Lineage
  • Data Ownership
  • AI Enablement
  • Reporting

Job areas

  • Technology
  • Management & Leadership
  • Data & Analytics
  • Software
  • Consulting

Additional details

Minimum experience
10+ years
Apply by
Aug 9, 2026
Posting language
English
Working hours
40 hours per week
Office presence
4 days per week
Seniority
Mid-Senior level