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# Program Manager II, Tech

- **Company:** Uber
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $122,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, SQL Databases, Data Analytics, Machine Learning Operations, Data Pipelines
- **Published:** July 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e7de6bb220ea15b7

## About the Role

* 3+ years of experience in program management, technical operations, or data-driven project management.
 * Proficiency in SQL and data analysis (e.g., Excel/Google Sheets) to conduct root-cause analysis and justify program spend.
 * Documented experience independently leading the full lifecycle of at least two large-scale technical initiatives from inception to deployment.
 * Bachelor's degree in a technical or business field (or 4 years of additional relevant experience in lieu of a degree).
 * Proven ability to resolve scope misalignments and dependencies across cross-functional workstreams., * Master's degree, PMP, or Lean Six Sigma certification.
 * Experience in AI/ML operations, autonomous systems, or global localization.
 * Experience building automated dashboards or feedback loops to measure team effectiveness.
 * Aptitude for deconstructing complex problems and making data-driven decisions in high-ambiguity, fast-paced environments.Ability to work across global time zones and perform stationary, screen-based tasks for extended periods.

## Description

The Program Manager, Tech leads complex programs that bridge technical vision and operational execution. This role focuses on the "how" of technical delivery-scaling systems like AI/ML human-in-the-loop workflows or global supply chains by navigating high-ambiguity environments and maintaining disciplined operational excellence.

What You'll Do

 * Program Orchestration: Lead the end-to-end lifecycle of technical programs, focusing on strategic scoping, stakeholder alignment, and operational execution.
 * Operational Design: Develop and implement scalable data pipelines and Standard Operating Procedures (SOPs) to enhance technical velocity and quality.
 * Cross-Functional Alignment: Partner with Engineering, Product, and Data Science to resolve operational blockers and ensure seamless milestone delivery.
 * Governance & Risk: Oversee global vendor performance and identify systemic process gaps, driving continuous improvement in program capability.


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