Director 1-Global Supply Chain Artificial Intelligence (AI) Business Strategy and Execution
Software Engineering, Operations, Data Science
USD 185,400-278k / year + Equity
Posted on Jun 18, 2026
RELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: NoneTRAVEL: Yes, 10% of the Time
Description
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.Position Summary
The Director, Global Supply Chain Artificial Intelligence (AI) Business Strategy and Execution will lead the strategy, development, deployment, and adoption of AI-enabled capabilities across the global supply chain organization. This leader will serve as a key architect of the company’s digital transformation journey, leveraging artificial intelligence, machine learning, predictive analytics, and emerging technologies to drive operational excellence, accelerate decision-making, improve resilience, and create competitive advantage across the supply chain ecosystem. This is not a traditional technology role. Rather than building algorithms or leading software development teams, the Director will serve as the business leader responsible for identifying where AI can create meaningful value across the supply chain and translating emerging technologies into measurable business outcomes. Reporting to the Vice President of Global Supply Chain Program Enablement, this individual will operate at the intersection of strategy, operations, data, and change leadership—partnering across supply chain, engineering, programs, operations, and digital organizations to transform how work gets done.
This role presents a unique opportunity to shape the future of a global supply chain organization, establish enterprise AI capabilities, and lead large-scale transformation efforts that improve agility, resilience, affordability, and execution speed. The successful candidate will help reimagine supply chain processes, elevate workforce productivity, and drive innovation across one of the most complex and consequential industries in the world.
For leaders who are passionate about supply chain excellence, digital transformation, and organizational change, this role offers a rare opportunity to leave a lasting impact on both business performance and mission success.
Key Responsibilities
AI Strategy & Vision
- Develop and execute a multi-year AI roadmap aligned with Global Supply Chain and enterprise strategic objectives.
- Identify opportunities to leverage AI to improve forecasting, planning, sourcing, supplier management, logistics, inventory optimization, compliance, and program execution.
- Establish a scalable framework for AI governance, responsible AI usage, and value realization.
- Serve as a thought leader on emerging AI technologies and industry best practices.
Business Transformation
- Lead the identification, prioritization, and deployment of AI solutions that deliver measurable business outcomes.
- Drive the transformation of supply chain processes through automation, predictive analytics, digital assistants, and intelligent decision-support systems.
- Champion adoption of AI-enabled tools across supply chain functions and business units.
- Develop business cases and ROI models for AI investments.
Data & Analytics Leadership
- Partner with enterprise data, digital, and IT organizations to establish data foundations required for AI success.
- Ensure availability, quality, governance, and accessibility of supply chain data.
- Oversee development of advanced analytics and predictive models that improve supply chain performance and risk management.
- Establish KPIs and performance dashboards to measure AI effectiveness and business impact.
Cross-Functional Collaboration
- Partner with Supply Chain leaders, Program Management, Manufacturing, Engineering, Quality, and Information Technology to align AI initiatives with business priorities.
- Influence executive stakeholders and drive enterprise-wide adoption of AI-enabled capabilities.
- Collaborate with external technology providers, industry partners, government agencies, and academic institutions.
Talent & Organizational Development
- Develop AI literacy and capability across the supply chain organization.
- Establish a culture of innovation, experimentation, continuous learning, and data-driven decision making.
- Mentor future digital and supply chain leaders.
Compliance & Risk Management
- Ensure AI solutions comply with aerospace and defense regulations, cybersecurity requirements, export controls, and customer contractual obligations.
- Establish processes to monitor AI model performance, transparency, and responsible usage.
- Partner with Legal, Ethics, Information Security, and Compliance organizations to manage AI-related risks.
Required Qualifications
- Bachelor’s degree in Supply Chain Management, Engineering, Computer Science, Data Science, Operations Research, Business, or related discipline.
- Minimum 10 years of progressive leadership experience in supply chain, digital transformation, analytics, AI, or related fields.
- Minimum 5 years of leadership experience managing cross-functional teams and enterprise-level initiatives.
- Demonstrated experience developing and implementing AI, machine learning, advanced analytics, or automation solutions in complex operational environments.
- Strong understanding of end-to-end supply chain processes including planning, procurement, supplier management, logistics, manufacturing, and program execution.
- Experience leading large-scale business transformation initiatives.
- Excellent executive communication, stakeholder management, and change leadership skills.
- Ability to obtain and maintain required security clearances.
Preferred Qualifications
- Advanced degree (MBA, MS, or PhD) in Supply Chain, Data Science, Artificial Intelligence, Engineering, Operations Research, or related field.
- Experience within aerospace and defense, industrial manufacturing, or other highly regulated industries.
- Familiarity with ERP, PLM, APS, MES, and supply chain planning platforms.
- Knowledge of Generative AI, Agentic AI, Machine Learning Operations (MLOps), Digital Twins, and Predictive Analytics.
- Experience supporting U.S. Government programs and compliance requirements.
- Certification in Supply Chain Management, Data Analytics, AI, Agile, or Program Management.
Success Measures
Within the first 12 months, this leader will:
- Establish an enterprise Global Supply Chain AI strategy and governance framework.
- Implement scalable AI solutions across multiple supply chain functions.
- Develop an AI-enabled workforce and improve organizational AI maturity.
- Generate quantifiable business value through AI-driven productivity, cost reduction, risk mitigation, and decision quality improvements.
Leadership Competencies
- Strategic Vision
- Enterprise Thinking
- Digital and Technology Leadership
- Change Management
- Innovation and Continuous Improvement
- Talent Development
- Executive Influence
- Data-Driven Decision Making
- Customer and Mission Focus
- Collaboration and Accountability
