Technical Project Manager

Hybrid in Richardson, TX, US • Posted 1 day ago • Updated 1 day ago
Contract W2
Contract Corp To Corp
Hybrid
$60 - $70/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • API
  • Amazon Web Services
  • Generative Artificial Intelligence (AI)
  • IT Strategy
  • KPI
  • Enterprise Architecture
  • TOGAF
  • Statistical Process Control
  • Solution Architecture
  • Machine Learning Operations (ML Ops)
  • Machine Learning (ML)
  • Google Cloud Platform
  • Continuous Improvement
  • Stakeholder Management
  • Microservices
  • Project Management
  • PMP
  • Software Engineering
  • Migration
  • Kanban
  • Roadmaps
  • Microsoft Azure

Summary

Job Description

Technical Program Manager

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 COMPETENCY AREAS

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 modernization programs

Technology roadmap alignment

Agile Delivery

SAFe, Scrum, Kanban at scale

PI Planning & ART coordination

OKR-driven delivery models

Engineering velocity & metrics

KEY RESPONSIBILITIES

  1. Own end-to-end program delivery for large-scale Cloud and AI/ML platform initiatives, from strategy through launch and continuous improvement.
  2. Partner with Enterprise Architects to ensure program deliverables align to the target-state architecture, driving consistency across domains.
  3. Lead cross-functional Agile Release Trains and program increments; facilitate PI Planning, sprint reviews, retrospectives, and dependency management.
  4. Build and maintain comprehensive program plans, risk registers, and stakeholder communication frameworks for programs spanning multiple engineering teams.
  5. Translate ambiguous business and technology requirements into well-scoped, executable epics, features, and milestones with clear acceptance criteria.
  6. Define, track, and communicate engineering KPIs and delivery metrics (lead time, deployment frequency, DORA, SLOs) to senior leadership.
  7. Manage AI/ML program portfolios including MLOps platform build-out, model deployment pipelines, and responsible AI compliance checkpoints.
  8. Identify and proactively mitigate technical, resource, and delivery risks, escalating blockers with recommended resolution paths.
  9. Drive cloud migration and modernization programs in collaboration with infrastructure, security, and application teams.
  10. Foster a culture of engineering excellence, continuous delivery, and psychological safety across distributed teams.

REQUIREMENTS

MUST HAVE

8+ years in technical program or project management

Proven delivery of cloud-native programs at scale

Hands-on experience with AI/ML or data platform programs

Strong Agile & SAFe practitioner (certification a plus)

Deep understanding of enterprise architecture concepts

Exceptional stakeholder management up to 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10368525
  • Position Id: 8926620
  • Posted 1 day ago
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