Manager Supply Chain

Job Summary

Reporting to the Corporate VP of Supply Chain, the Manager, Supply Chain Tools & Analytics owns and champions Leonardo DRS’s enterprise supply chain digital toolset. This hands-on role manages the full tool lifecycle—from requirements and design through releases, maintenance, training, and continuous improvement—while bridging supplier data interchange, digital product ownership, and analytics. The position delivers decision-grade insight on supplier performance and risk, program impacts, commodity trends, and obsolescence, leveraging advanced Power BI and evolving AI capabilities. The role is remote/hybrid with limited travel to DRS sites.

Job Responsibilities

Enterprise Tool Ownership — Supplier Portal and Supplier Central
• Own the product roadmap/backlog and release plan in coordination with IT, serving as the primary interface for supply chain stakeholders and external supplier users.  
• Lead module and workflow design/enhancements; manage configuration governance, revision control, documentation, and release notes.  
• Develop and deliver internal/external training, job aids, and onboarding materials to drive adoption.

Power BI Dashboard Governance
• Build, maintain, and govern enterprise Power BI dashboards for supplier performance, spend, risk illumination, commodity trends, and program impact.  
• Own data model stewardship, metric definitions, and data integrity; maintain working knowledge of DataMart, queries, and data availability/issues tied to BU processes.  
• Translate stakeholder needs into scalable reporting, benchmark BU best practices, and manage/prioritize enhancements via structured change control.

Supplier Scorecard & Supplier Performance Intelligence
• Own the supplier scorecard framework (KPIs, definitions, scoring methodology) and roadmap for enhancements.  
• Develop early-warning performance and risk signals (quality, delivery, financial, geopolitical) and support BUs with trend analysis and scorecard/data troubleshooting.

AI Automation & Digital Transformation
• Identify and implement automation opportunities across supply chain workflows (e.g., RFQ, requisition-to-PO, compliance) to reduce transactional burden and cycle time.  
• Lead the Supply Chain AI User Group to share best practices and accelerate deployment of AI solutions using internal tools and integrated data.  
• Deploy and improve AI-enabled supplier risk capabilities responsibly while championing digital adoption and continuous improvement.

Commodity Pricing & Market Trend Insights
• Develop and maintain commodity pricing and market insight capabilities using approved third-party sources (e.g., IHS) and internal spend/category data.  
• Integrate external signals into recurring market intelligence packages for sourcing and leadership (monthly/quarterly).

Supply Chain Risk Illumination
• Deploy and enhance an AI Risk Illuminator with IT to enable early warning visibility to external/internal risks and program/material impacts.  
• Support “where-used” and sub-tier visibility capabilities to improve insight into OEM dependencies and critical materials exposure.

Obsolescence Management
• Own/support obsolescence inputs, alert workflows, and mitigation tracking within enterprise tools; partner with Engineering, Sourcing, and Programs to drive action.  
• Enhance tools and processes for active monitoring and closed-loop end-of-life planning (e.g., lifetime buy, redesign), leveraging solutions such as Z2 and Silicon Expert.

Other
• Provide additional enterprise reporting/analytics support as needed (e.g., Quality, Operations, Business Processes) in support of COO priorities.

Qualifications

• Bachelor's degree in Supply Chain Management, Business, Information Systems, or equivalent experience
• Minimum 5 years of experience in supply chain, procurement, or related field — with demonstrated focus on tools, analytics, or digital enablement
• Expert proficiency in Power BI data modeling, dashboard design, governance
• Exposure to AI/ML tools or automation platforms; aptitude and capability to develop new AI automation solutions
• Experience with digital product ownership, tool governance and change control
• Demonstrated ability to write requirements, lead UAT, and manage release cycles
• Strong communication skills with ability to translate technical concepts for non-technical stakeholders
• Ability to manage peaks in workload, while managing internal customer expectations, status and follow-ups
• Adequate presentation and training skills internally and externally for suppliers
• Ability to lead working groups, establish strong rapport and network with a wide range of Business Unit partners
• Ability to work effectively/independently in Remote/Hybrid position, working from a home office with ~10% travel to Business Units