Senior Technical Program Manager

Join UTA as a Senior Technical Program Manager, where you will lead complex, cross-functional technology programs that drive efficiency, scale, and innovation across the agency. You will partner with senior stakeholders across various departments, define program scope and roadmaps, establish program governance, and communicate key metrics to measure progress and outcomes. The ideal candidate will have deep program management expertise, strong technical fluency, and the ability to operate in ambiguity while influencing both engineering teams and executive leadership.

• Lead the end-to-end planning and execution of large-scale, multi-phase technology programs, ensuring alignment with strategic business goals and on-time delivery.
• Establish and drive program governance, including status reporting, dependency and risk tracking, and stakeholder communication.
• Proactively identify and resolve cross-team dependencies, ensuring accountability, alignment, and efficient decision-making across business units.
• The ideal candidate brings deep program management expertise, strong technical fluency, and a proven ability to operate in ambiguity while influencing both engineering teams and executive leadership
• Excellent written and verbal communication skills, with the ability to influence and drive alignment at all levels of the organization, including executives
• Strong technical background with the ability to understand system architecture, data flows, integration patterns, and engineering trade-offs
• Ability to present to executive audiences with clarity and confidence, tailoring the depth of technical detail to the audience
• Demonstrated experience working closely with software engineering and product teams; familiarity with SDLC, Agile methodologies, and modern collaboration/tooling
• 8+ years of experience in program or project management, including at least 4 years in a dedicated Technical Program Manager role
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data systems (e.g., Snowflake, Databricks, Kafka)
• Exposure to AI/ML or enterprise data initiatives is preferred
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience
• Bias for action and ownership; operates as a driver of outcomes rather than a coordinator of tasks
• Proven track record delivering large, cross-functional initiatives in fast-paced, dynamic environments
• Experience in media, entertainment, or similarly fast-moving industries is preferred
• Strong analytical and problem-solving skills, with comfort using data and metrics to inform decisions and prioritize work