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Technical Program Manager – Cloud & Analytics
Job in
Coos Bay, Coos County, Oregon, 97458, USA
Listed on 2026-01-16
Listing for:
Blueprint Technologies
Full Time
position Listed on 2026-01-16
Job specializations:
-
IT/Tech
Data Science Manager, Data Engineer -
Engineering
Data Science Manager, Data Engineer
Job Description & How to Apply Below
Employer Industry: Technology Solutions
Why consider this job opportunity?- Salary range up to $90,000 annually for candidates based in Washington State
- Comprehensive benefits package including medical, dental, and vision coverage
- Flexible Spending Account and 401k program
- Competitive PTO offerings and Parental Leave
- Opportunities for professional growth and development
- Work remotely, offering flexibility and work-life balance
- Own and manage daily ticket triage, prioritization, and coordination across engineering teams
- Act as the primary point of contact for technical and business issues from project initiation through delivery
- Coordinate cross‑functional activities to ensure programs and projects are completed on schedule and within scope
- Maintain and enhance Power BI dashboards, adapting to data model or process changes
- Support continuous process improvement related to ticketing, triage, and reporting workflows
- 2+ years of experience working in a cloud engineering or technical engineering environment
- 2+ years of hands‑on experience with ticketing systems (ADO preferred) or PLM tools
- 2+ years of hands‑on experience with Microsoft Power BI, including dashboard maintenance and updates3+ years of experience in engineering change management, technical program management, or engineering operations
- Strong written and verbal communication skills, with the ability to translate technical details into clear updates
- Engineering degree or strong engineering-focused background
- Experience leading or facilitating regular syncs, triage calls, scrums, or workshops
- Working knowledge of cloud platforms and cloud-based data systems
- Python or scripting experience, especially for analytics, automation, or BI workflows
- Exposure to AI-enabled analytics or data-driven operational workflows
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