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Other Program Manager Cloud Jobs In Tucson Az - 7 Job Positions Available

1 – 7 of 7 jobs
Clinisys jobs

Role Summary: As the Manager, Integrations, you will play a critical leadership role in driving successful customer outcomes by delivering scalable, high-quality integration solutions that connect complex systems and technologies. You will lead a team of integration

Clinisys  16 days ago
RTX jobs

Date Posted:2026-08-18 Country:United States of America Location:US-AZ-TUCSON-M10 ~ 3360 E Hemisphere Loop ~ BLDG M10 Position Role Type:Hybrid U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued

RTX  4 days ago

Customer Relationship & Lifecycle Marketing Manager in Tucson, Arizona (Remote Hybrid) Qualified Arizona based candidates will be given preference Job: Full-Time, Customer Relationship & Lifecycle Marketing Manager in Tucson, Arizona. REMOTE HYBRID. Pay Range: $55,300 -$66,300 (Annually) Are

Western National Parks  2 days ago
RTX jobs

Date Posted:2026-08-19 Country:United States of America Location:US-AZ-TUCSON-M05 ~ 1151 E Hermans Rd ~ BLDG M05 (External Site) Position Role Type:Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance

RTX  3 days ago
TEK Systems jobs

Description networking experiencesystem administrationfirewall set up Responsible for the networking and firewalling, as well aas server administration. the team is responsible for the architecture, design, planning, testing, implementation, and administration of the Information Technology (IT) infrastructure

TEK Systems  1 day ago
MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side

MAXIMUS  15 days ago
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MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side

MAXIMUS  15 days ago

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