Mgr/Scrum Master, AI Automation Engineering Delivery

Manager / Scrum Master, AI Automation Engineering DeliveryLocation: Dallas-Fort Worth, TX (Hybrid) T/W/TH -Onsite. M/F - RemoteEmployment 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 periodIf Converted to Full-Time: $145,000-$165,000 base salary plus 15% annual bonus targetAbout the OpportunityOur 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.What You'll DoLead 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.What You Bring (Required)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.Nice to HaveExperience 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.CompensationContract pay rate: Up to $70-$80/hr, W2If converted to full-time: $145,000-$165,000 base + 15% annual bonus targetConversion is possible after approximately 3 months but is not guaranteed at this time.

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