Project Manager Scrum Master

Scrum Master (Contract) — Enterprise AI TeamsTwo openings | 6-month contract with option to extend | Remote, Central time zone alignedThe OpportunityOur client is standing up dedicated AI delivery teams inside its enterprise IT organization and needs two experienced Scrum Masters to run them.This is not a coordinator role. These teams are building and deploying AI and advanced analytics capability against real operational problems inside an established enterprise environment.You will be the person who protects delivery cadence while the teams figure out how to run AI work inside a structure originally built for traditional software. That is the actual job.The Two TeamsTrack A: Supply Chain AIFocused on applying AI and analytics to supply chain operations. Expect work touching demand and inventory intelligence, planning, procurement, logistics, and warehouse operations.The right person here has run agile teams inside supply chain or operations technology and understands that a planner's month-end does not pause for a sprint review.Track B: Enterprise AI (Pricing and Product Information Management)Focused on broader enterprise AI initiatives, starting with Pricing and Product Information Management. This is data-heavy work. Product master data, pricing logic, and the integration and governance layers underneath both.The right person here is comfortable when the sprint output is a validated data model or a scored pricing recommendation rather than a shipped feature, and can hold a team accountable to outcomes that are harder to demo.What You Will OwnRun all agile ceremonies for your team: sprint planning, daily standups, backlog refinement, reviews, and retrospectivesPartner with the Product Owner to keep the backlog healthy, prioritized, and actually ready for the team to pull fromSurface and drive resolution on blockers, dependencies, and cross-team handoffs before they cost the team a sprintTrack and report delivery metrics that leadership can act on: velocity, cycle time, predictability, and impediment agingManage dependencies across enterprise IT, data engineering, business stakeholders, and any external partnersCoach the team and its business partners on agile practice, including business partners who have never worked in a sprint cadenceAdapt agile mechanics to fit AI and data science work, where discovery, experimentation, and model iteration do not fit neatly into two-week incrementsKeep documentation, tooling, and reporting current so the work is visible to stakeholders who are not in the roomWhat You BringRequiredFive or more years running agile teams as a dedicated Scrum MasterDemonstrated depth in Scrum, with working knowledge of Kanban and scaled agile approachesExperience running teams inside a large enterprise IT organization, including managing dependencies across functionsStrong facilitation and stakeholder management skill, with the credibility to push back on scope and hold a line on team capacityProficiency in enterprise agile tooling such as Jira or Azure DevOps, including building the reporting leadership expectsAvailability to work core Central time zone hoursStrongly PreferredManufacturing background, or adjacent industrial, distribution, or supply chain environmentExperience supporting AI, machine learning, data science, or advanced analytics teamsTrack A: supply chain, ERP, WMS, planning, or logistics technology deliveryTrack B: master data management, PIM, pricing systems, or enterprise data and integration programsActive certification: CSM, PSM I or II, SAFe Scrum Master, or equivalent