Manager / Scrum Master, AI Automation Engineering Delivery
Location: Dallas-Fort Worth, TX (Hybrid) T/W/TH -Onsite. M/F - Remote
Employment Type: W2 Contract, with potential to convert to full-time after approximately 3 months (conversion not guaranteed)
Pay Rate: $70-80/H  (W2) during contract period
If Converted to Full-Time: $145,000-$165,000 base salary plus 15% annual bonus target

Our client, a leading healthcare performance-improvement company, is building out its enterprise AI and Intelligent Automation delivery function. We're looking for a hands-on delivery leader to run day-to-day engineering delivery for enterprise AI and Intelligent Automation initiatives -- managing one or more Delivery PODs and driving solutions through the full AI Delivery Lifecycle (AI-DLC), from planning and sprint execution through testing, deployment, and production readiness.

You'll partner closely with a Director of AI Intelligent Automation (portfolio/governance) and a Lead AI Automation Engineer (architecture/technical standards), while owning Agile delivery execution, Azure DevOps planning, sprint management, release readiness, and continuous improvement.

• Lead one or more AI Automation Delivery PODs, owning execution from planning through deployment to ensure predictable, high-quality delivery.

• Facilitate all Agile ceremonies (sprint planning, standups, backlog refinement, reviews, retrospectives, release planning) and manage Azure DevOps work items and dashboards.

• Coordinate cross-functional delivery across engineers, QA, business analysts, and contractors, monitoring capacity, dependencies, risks, and blockers.

• Partner with the Director and Lead Engineer to align delivery with portfolio priorities and technical readiness.

• Drive initiatives through testing, UAT, production readiness, deployment, hypercare, and operational transition, including release planning and rollback readiness.

• Report weekly delivery status, sprint metrics, KPIs (velocity, predictability, cycle time, backlog health), risks, and mitigation plans to leadership.

• Balance workloads across PODs, drive continuous improvement of Agile/Azure DevOps practices, and coach engineers on delivery discipline.

• 7+ years in software engineering, enterprise technology delivery, automation, or engineering/project management; 3+ years leading Agile teams or delivery organizations.

• Proven background as a Scrum Master, Delivery Manager, Engineering Manager, or Technical Project Manager, running the full Agile/SDLC ceremony cycle.

• Hands-on Azure DevOps (or Jira/comparable) experience managing epics, features, stories, and delivery dashboards.

• Experience coordinating cross-functional teams and managing capacity, schedules, dependencies, and risk across multiple concurrent initiatives.

• Experience preparing executive-ready status reports, dashboards, and KPI/risk reporting.

• Working knowledge of enterprise Intelligent Automation platforms (UiPath, Microsoft Power Platform, or comparable) and of SDLC/DevOps/CI/CD/release management practices.

• Strong organizational, communication, and facilitation skills; self-driven and comfortable ramping up on new tools and domains independently.

• Experience leading Agile delivery squads or AI Automation Delivery PODs, and delivering Intelligent Automation solutions via UiPath or Power Platform.

• Experience supporting an Automation Center of Excellence (CoE) or managing a blended workforce of employees, contractors, and vendors.

• Track record implementing engineering KPIs/dashboards or driving Agile transformation and delivery maturity initiatives.

• Experience in healthcare or another highly regulated industry.

• Certifications: CSM, PSM, PMP, Azure DevOps, Azure Fundamentals, UiPath, or Microsoft Power Platform.

• Contract pay rate: Up to $70-$80/hr, W2

• If converted to full-time: $145,000-$165,000 base + 15% annual bonus target

• Conversion is possible after approximately 3 months but is not guaranteed at this time.