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# Technical Program Manager - AWS & AI-First Engineering

- **Company:** Tranzeal, Inc.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Confluence, JIRA, Cloud Engineering, Continuous Integration, Cursor (Graphical User Interface Elements), DevOps, RAID, Distributed Systems, Python (Programming Language), Message Broker, Node.Js, OpenShift, Scrum Methodology, Power BI, GitHub Copilot, Terraform, ServiceNow Customer Service Management, AWS EKS, Golang
- **Published:** September 25, 2026
- **Apply:** https://www.dice.com/job-detail/80448c67-3d53-43da-aa7e-3ee380cd4843

## About the Role

* 12 15 years of technical program/project management experience.
 * Strong knowledge of AWS and cloud architecture.
 * Experience across distributed systems, data/BI, integration, and DevOps/cloud.
 * Strong Agile/Scrum/Kanban, Jira, Confluence, program planning, and stakeholder management skills.
 * Experience leading onshore/offshore teams and complex multi-team programs.
 * Hands-on familiarity with Claude Code, GitHub Copilot, Cursor, or similar AI tools.
 * Understanding of responsible AI, data privacy, and PHI protection.
 * Healthcare/health insurance/payer experience.
 * Familiarity with Go, Python, Node.js, AWS EKS/OpenShift, Glue, Power BI, IBM ACE/Message Broker, Terraform, and CI/CD.
 * Experience with AI governance/Center of Excellence initiatives.
 * PMP, PMI-ACP, CSM, SAFe, or AWS certification.

## Description

* Own program plans, schedules, dependencies, RAID logs, risks, and delivery governance.
 * Partner with business, customers, architects, and engineering teams to translate requirements into technical delivery plans.
 * Manage Agile delivery across software, data/integration, and cloud/DevOps teams.
 * Drive adoption of AI-assisted coding, testing, documentation, automation, and agentic workflows.
 * Track AI adoption, productivity, quality, and delivery improvements.
 * Manage cross-team dependencies, risks, escalations, and executive reporting.
 * Ensure security, compliance, and HIPAA-aware practices.
 * Guide engineering leads on delivery and AI-first practices.


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