Technical Program Manager - Dallas, TX (Hybrid) - Need only Locals

Role: Technical Program Manager
Location: Dallas, TX, Hybrid (only local candidates)
Duration: 6+ Months


Client Interview: In-person client Interview



ABOUT THE ROLE
We are looking for an experienced Technical Program Manager to drive the delivery of complex, large-scale technology initiatives spanning Cloud infrastructure, AI/ML platforms and Enterprise Architecture. You will operate at the intersection of technology strategy and execution, bridging the gap between engineering teams, product stakeholders, and executive leadership.

You are both a systems thinker and a hands-on operator, equally comfortable discussing cloud architecture patterns as you are managing cross-functional program cadences and aligning delivery to organizational OKRs

 

CORE COMPETENCIES

• Cloud Platforms

• AWS, Azure, or Google Cloud Platform at scale

• Cloud native architecture patterns

• Multi-cloud  hybrid environments

• FinOps cost governance AI  ML

• MLOps  model lifecycle management

• GenAI  LLM platform delivery

• Data pipelines  feature stores

• Responsible AI governance

• Enterprise Architecture

• TOGAF or similar frameworks

• API  microservices strategy, Legacy modernisation programs

• Technology roadmap alignment          

• Agile Delivery, SAFe Scrum, Kanban at scale

• PI Planning  ART coordination

• OKR-driven delivery models

• Engineering velocity  metrics

 

KEY RESPONSIBILITIES

• Own end-to-end program delivery for large-scale Cloud and AIML platform initiatives from strategy through launch and continuous improvement

• Partner with Enterprise Architects to ensure program deliverables align with the target state architecture, driving consistency across domains

• Lead cross-functional Agile Release Trains and program increments, facilitating PI Planning, sprint reviews, retrospectives and dependency management.

• Build and maintain comprehensive program plans, risk registers, and stakeholder communication frameworks for programs spanning multiple engineering teams.

• Translate ambiguous business and technology requirements into well-scoped executable epics, features, and milestones with clear acceptance criteria.

• Define track and communicate engineering KPIs and delivery metrics, lead time, deployment frequency, DORA SLOs to senior leadership

• Manage AIML program portfolios, including MLOps platform buildout model deployment pipelines, and responsible for AI compliance checkpoints.

• Identify and mitigate technical resource and delivery risks, and escalate blockers with recommended resolution paths.

• Drive cloud migration and modernization programs in collaboration with infrastructure security and application teams.

• Foster a culture of engineering excellence, continuous delivery, and psychological safety across distributed teams.

 

MUST HAVE REQUIREMENTS

• 8 years in technical program or project management

• Proven delivery of cloud native programs at scale

• Hands-on experience with AIML or data platform programs

• Strong Agile SAFe practitioner certification is a plus

• Deep understanding of enterprise architecture concepts

• Exceptional stakeholder management up to the C-suite

• Experience with Jira, Confluence, or equivalent tooling 

 

NICE TO HAVE

• Cloud certifications AWS Solutions Architect, Google Cloud Platform Pro, etc

• PMP, PgMP, or SAFe SPC certification

• Background in software engineering or solutions architecture

• Experience with GenAI LLM production deployments

• Familiarity with TOGAF or other EA frameworks

• FinOps or cloud cost optimization experience

• Exposure to platform engineering or developer experience programs

 

Skills

Mandatory Skills: Project Governance, Project Planning