Staff Technical Program Manager

New
Based in the United StatesFull-TimeStaff
Salary not disclosed
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Job Details

Experience
10+ years of experience
Required Skills
Artificial IntelligenceStakeholder managementData analytics

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s preferred).
  • 10+ years of experience in technical program management with a proven track record of delivering complex, enterprise-scale initiatives.
  • Strong understanding of software development lifecycles, cloud-based systems, and modern infrastructure and data platforms.
  • Experience integrating AI or advanced analytics into program delivery, reporting, or operational workflows.
  • Strong leadership, communication, and stakeholder management skills, with the ability to influence senior technical and business leaders.
  • Proven ability to manage ambiguity, prioritize competing demands, and drive execution in regulated or high-compliance environments.
  • High proficiency in program management methodologies, with strong analytical thinking and execution discipline.

Responsibilities

  • Lead strategic, cross-functional programs from initiation to delivery, ensuring clear scope, timelines, dependencies, and outcomes aligned with business objectives and compliance standards.
  • Drive stakeholder alignment across engineering, operations, quality, and business teams, using data-driven insights and AI-supported analysis to surface risks, tradeoffs, and opportunities.
  • Establish and maintain governance frameworks, reporting structures, and execution cadences to ensure program visibility, accountability, and predictable delivery outcomes.
  • Identify, assess, and mitigate program risks proactively using predictive signals, trend analysis, and structured escalation paths.
  • Partner with technical teams to translate business needs into scalable architecture and implementation plans, supporting AI and digital transformation initiatives.
  • Optimize resource allocation, delivery workflows, and cross-team dependencies using structured planning and performance analytics.
  • Define success metrics and continuously improve program execution through automation, process refinement, and operational excellence practices.
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