Dallas Hybrid TPM for AI Programs & GenAI Delivery

UST; Dallas (TX); Hybrid; USD 102,000 - 153,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid vacation

Paid holidays

Sick leave

Disability insurance

Job summary

UST is seeking a Technical Program Manager for AI Programs responsible for leading the planning, execution, and delivery of enterprise AI/ML, Generative AI, and data-driven transformation initiatives.

You will drive end-to-end delivery, develop roadmaps and budgets, establish governance with KPIs, and report to executives. Collaborate with Data Science, Engineering, Product and Architecture teams to deploy AI-powered solutions on Azure, AWS, or GCP, ensuring scalable, reliable production systems.

Qualifications

• Bachelor's degree in CS/IT/Engineering/Data Science; Master’s preferred.
• 12+ years in program or project management.
• Experience leading enterprise AI/ML programs and governance.

Responsibilities

• Lead end-to-end AI/ML/GenAI initiatives across business units.
• Develop AI program roadmaps, budgets, milestones, risks, dependencies.
• Establish governance, KPIs, and executive reporting for AI programs.
• Drive prioritization and alignment of AI with enterprise strategy.
• Collaborate with Data Science, Engineering, Product and Architecture to deliver AI solutions.
• Oversee AI/ML models, MLOps platforms, predictive analytics, and GenAI apps.
• Manage cloud integrations (Azure, AWS, GCP) and ensure production scalability.
• Facilitate steering committee reviews and communicate status and mitigation plans.

Skills

AI/ML/GenAI

PM/Portfolio Mgmt

PM Methods

MLOps & Data

Cloud Platforms

Stakeholder Mgmt

Budget & Governance

SDLC & EA

Education

Bachelor's degree in CS/IT/Engineering/Data Science (Master's preferred)

Tools

Azure

AWS

GCP

Job description

UST is seeking a Technical Program Manager for AI Programs responsible for leading the planning, execution, and delivery of enterprise AI/ML, Generative AI, and data-driven transformation initiatives.

You will drive end-to-end delivery, develop roadmaps and budgets, establish governance with KPIs, and report to executives. Collaborate with Data Science, Engineering, Product and Architecture teams to deploy AI-powered solutions on Azure, AWS, or GCP, ensuring scalable, reliable production systems.