Build and maintain integrated schedules, milestones, budgets, resource plans, and critical paths. Manage projects through Initialization, Planning, Design, Build, Test, Deploy, Stabilization, and Close.
Coordinate staffing across solution architecture, product engineering, infrastructure, security, and shared services. Surface capacity constraints, limit work in progress, and present sequencing and scope tradeoffs for approval.
Own risks, issues, assumptions, dependencies, and change control. Resolve delivery obstacles, escalate decisions promptly, and maintain recovery plans with accountable owners and dates.
PMO governance and business accountability
Apply enterprise PMO standards and prepare evidence for Decision Checkpoints in the appropriate governance forums. Obtain and record sponsor and business approvals for material changes and readiness decisions.
Lead project working sessions and weekly Steering Committee reviews as appropriate to project scale and risk. Bring concise status, exceptions, decisions needed, and recovery actions to portfolio reviews.
Maintain consistent project data in Jira, Smartsheet, and approved reporting tools. Track milestone predictability, budget variance, delivery cycle time, time spent in each phase, and overdue actions and decisions.
Manage vendors and global delivery partners against agreed deliverables, quality, service commitments, and acceptance criteria. Track rework, knowledge transfer, and demands on internal subject matter experts.
Manufacturing systems and operational readiness
Lead implementations, upgrades, integrations, and improvements involving manufacturing execution systems (MES), factory applications, and ERP. Coordinate with manufacturing, engineering, quality, supply chain, warehouse, logistics, and Finance teams.
Translate manufacturing needs such as production tracking, work in process, traceability, inventory movements, yield, and production costing into coordinated delivery plans with business analysts and technical specialists.
Coordinate projects involving Siemens Opcenter and Mapsuite, Oracle EBS, and connected factory and logistics applications. Understand interfaces, master data, and downstream dependencies sufficiently to challenge plans and identify delivery risks.
Plan integration testing, user acceptance testing, data conversion and reconciliation, training, cutover, rollback, and production support. Schedule changes around production constraints and secure business readiness and go-live approvals.
Complete stabilization and support handover with operating documentation, support ownership, and knowledge transfer. Close projects with business acceptance, lessons learned, and benefit measures and owners.
AI enablement and continuous improvement
Partner with business and technical teams to assess AI and automation use cases, define value measures, and lead pilots and implementations with clear acceptance criteria and accountable business owners.
Use approved AI tools to improve planning, reporting, analysis, and knowledge management. Validate outputs and follow company requirements for data protection, security, and AI governance.
Track adoption, productivity improvements, cost savings, and other agreed benefits with Finance and business owners. Improve PMO practices using delivery data and lessons learned.
What You Will Need
Bachelor’s degree in Computer Science, Information Technology, Information Systems, Engineering, or a related discipline; at least five years of IT project management experience. PMP or equivalent project management certification required.
Demonstrated delivery of manufacturing IT projects in a production environment, including MES, factory applications, or ERP integration; working knowledge of manufacturing, quality, inventory, and supply chain processes.
Experience managing multiple projects, budgets, cross-functional dependencies, vendors, and globally distributed teams in a matrix organization using structured and Agile or hybrid delivery methods.
Strong stakeholder communication, facilitation, problem solving, and conflict resolution skills; ability to hold owners accountable and present clear recommendations and tradeoffs.
Practical familiarity with AI or automation use cases and their delivery considerations; proficiency in project planning, collaboration, and reporting tools.
Why Allegro?
Join Allegro and become part of a team where your contributions truly matter.
We foster a culture of Real Innovation, empowering you to push boundaries, develop cutting-edge solutions, and drive continuous improvement.
Your work will create a Real Impact by solving complex real-world challenges that fuel our success and shape the future of technology.
You’ll experience Real Connection, collaborating with talented colleagues around the globe in an environment built on trust, respect, and a shared purpose.
Join us—and help build what’s next.
