We are seeking a highly experienced Principal Engineer – Program Management, Supply Chain Transformation to lead mid-to-large scale digital and AI-driven transformation initiatives across our global supply chain. This role will orchestrate complex cross-functional programs, manage senior executive stakeholders, and ensure the successful delivery of long-duration, high-impact initiatives across planning, procurement, manufacturing, logistics, and sales operations.
The ideal candidate brings deep program management expertise, strong supply chain domain knowledge, hands-on experience with advanced planning tools (e.g., Blue Yonder ESP), and a solid technical foundation including SQL, Python, BI tools, and AI/ML concepts. Experience partnering with data science or AI engineering teams to operationalize decision-support models is a strong plus.
Essential Duties and Responsibilities:
Program & Project Leadership
- Lead and deliver end-to-end supply chain transformation programs
- Deliver mid-to-long duration programs on time and within scope, with measurable business outcomes.
- Own program scoping, governance, execution, risk, dependency management, and change control.
Cross-Functional Collaboration
- Work closely with Supply Planning, Manufacturing, Procurement, Logistics, Sales, Business Units, Finance, IT, and Data/AI teams.
- Translate business requirements into executable program roadmaps and solution architectures.
Stakeholder & Executive Management
- Engage senior executives, drive decision-making, and ensure strategic alignment across global functions.
- Facilitate workshops, requirement sessions, and cross-organizational working groups.
Supply Chain Systems Expertise
- Demonstrate deep expertise with advanced planning platforms (e.g., Blue Yonder ESP, SAP APO/IBP, Kinaxis, Oracle SCP).
- Partner with IT and product teams to define system integration, data flows, and optimization strategies.
Technical Acumen (Enhanced with AI/ML)
- Analyze large datasets using SQL, Python, and analytics platforms to support insights, scenario modeling, and program decisions.
- Leverage Power BI, Tableau, or similar tools to build executive dashboards and operational visuals.
- Apply AI/ML literacy to: Interpret model outputs from forecasting, optimization, or anomaly-detection models.
- Collaborate with data science teams to integrate machine learning into supply chain workflows.
- Assess feasibility, risks, and business impact of AI-driven decision systems.
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- Use advanced Excel for modeling, simulation, and reporting.
- Create impactful PowerPoint presentations for executive audiences.
Process Reengineering
- Identify and drive process simplification, standardization, and automation opportunities.
- Ensure digital solutions support scalability, agility, and long-term architectural alignment.