Director, Supply Chain Systems & AI Enablement

A leadership role at Qualcomm based in San Diego, the Director of Supply Chain Systems & AI Enablement drives the strategy, governance, adoption, and execution of digital capabilities that enhance global supply chain effectiveness, resilience, and efficiency. This position combines supply chain expertise with technical leadership across advanced planning systems, decision-support tools, analytics, automation, and AI-enabled capabilities. The Director translates business needs into scalable systems roadmaps, improves planning processes and data usability, and fosters AI and automation adoption across the organization. It also involves building and mentoring a capable team and ensuring digital capabilities align with Qualcomm’s technology direction and business strategy in collaboration with IT, data, engineering, finance, product, security, enterprise architecture, and master data teams.

Responsibilities

• Define and lead the multi-year vision, roadmap, and governance for supply chain systems, analytics, automation, and AI-enabled decision support; translate complex operational requirements into scalable solutions that improve planning accuracy, execution speed, productivity, and enterprise alignment.
• Design, deploy, and continuously improve decision-support capabilities, including planning models, scenario simulations, dashboards, metrics, reports, data auditing tools, and workflow automation to manage trade-offs across customer delivery, inventory investment, supply availability, productivity, and cost.
• Identify, prioritize, and sponsor practical AI, agentic orchestration, and automation use cases across supply chain operations, including demand and supply planning, exception management, scenario analysis, reporting, knowledge retrieval, and process simplification; drive adoption through workflow integration, change management, and internal training.
• Partner with IT, data, engineering, finance, operations, product, security, enterprise architecture, and business units to ensure supply chain systems, AI, and automation capabilities integrate with upstream and downstream platforms and align with Qualcomm technology initiatives.
• Own planning-system data and model integrity through standards and controls for APS data model setup, network validation, planning parameters, data auditing, and planning data stewardship; collaborate with master data on related changes and design decisions without owning enterprise master data management.
• Build, mentor, and grow high-performing teams of analytics, automation, data science, and AI professionals; develop capabilities in supply chain domain knowledge, modeling, systems thinking, workflow design, stakeholder influence, and practical AI adoption.
• Establish change management, testing, release readiness, controls, and business continuity practices for supply chain systems and automation deployments, ensuring solutions are secure, reliable, scalable, and compliant.
• Provide executive-level communication on strategy, roadmap progress, risks, benefits, investment needs, and enterprise alignment; influence senior stakeholders around priorities, trade-offs, transformation outcomes, and resolution of complex supply chain systems, data, and process issues.

Requirements

• Bachelor’s degree in Business Operations, Industrial Engineering, Supply Chain, or a related field; 9+ years of experience in Supply Chain, Product Planning, or related work.
• Preferred: Master’s degree in Business Operations, Industrial Engineering, Supply Chain, or related field.
• 4+ years of experience in production and materials management within the semiconductor industry.
• 5+ years of people leadership, program leadership, or cross-functional transformation leadership, including mentoring and scaling teams of analytics, data, automation, systems, or AI professionals.
• Demonstrated expertise in supply chain planning processes, including demand planning, supply planning, inventory management, capacity planning, S&OP, production planning, materials management, or supplier coordination.
• Significant experience defining, deploying, configuring, or improving supply chain systems, particularly advanced planning systems such as Kinaxis Maestro, including data model setup, network configuration, planning-parameter design, scenario modeling, reporting, ERP integration, and related controls.
• Strong understanding of how planning data structures, master data, constraints, sourcing relationships, bills of material, lead times, capacity assumptions, inventory policies, metrics, and planning rules are represented within APS platforms.
• Experience identifying and implementing automation, advanced analytics, or AI-enabled capabilities that improve business processes, decision quality, productivity, or operational efficiency.
• Proven ability to influence senior leaders, collaborate across functions, translate strategy into executable system and process roadmaps, communicate complex topics clearly, and lead ambiguity through structured analysis and disciplined execution.
• Preferred: Master’s degree or MBA in Supply Chain, Business Operations, Industrial Engineering, Data Science, Information Systems, Engineering, or a related field; experience in the semiconductor, high-technology, advanced manufacturing, or similarly complex global supply chain environments.