Supply Chain Operations Lead, Infrastructure Supply Chain

Meta; Austin (TX); On-site; USD 170,000 - 250,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

Meta seeks a seasoned strategist to drive operational excellence across its large-scale infrastructure supply chain. You will shape cross-functional initiatives, influence senior stakeholders, and embed AI-powered practices to optimize processes, improve efficiency and reduce risk.

A track record of leading teams and delivering data-driven solutions in complex environments is essential. Ideal candidates bring 8+ years in strategy/ops within supply chain, a business degree, and a strong ability

Qualifications

• 8+ years in business strategy, operations, or related field within supply chain.
• Proficiency in data analysis, problem solving and data-driven strategies.
• Effective communication with stakeholders at all levels.
• Experience leading teams, managing projects, and influencing stakeholders.
• Experience building cross-functional relationships with legal, policy, finance, and other partners.
• Ability to think critically and analyze complex situations to develop strategies.
• Experience using data analysis to define scope and solutions for ambiguous challenges.
• Demonstrated AI skill development (prompt engineering, agent orchestration) and staying current with AI tech.
• Experience with technical concepts relevant to supply chain operations.
• Experience supporting large-scale supply chain organizations.
• Ability to integrate AI tools to optimize workflows and drive measurable impact.
• Experience adhering to responsible, ethical AI practices.

Skills

Strategy & operations

Data analysis

Cross-functional leadership

Stakeholder management

Project leadership

AI in supply chain

Ethical AI practices

Technical supply chain concepts

Ambiguity data-driven solving

AI tooling awareness

Relationship building

Education

Bachelor's degree in business or related field

Job description

Meta is seeking a professional experienced in driving strategic operations for large-scale supply chain organizations to execute on projects critical to Meta's Infrastructure Supply Chain & Engineering team. This role involves leveraging functional expertise, thought leadership and strategic influence to help identify and solution risks that may compromise or adversely impact our supply chain, optimize processes and drive efficiency. Meta's infrastructure supply chain has global scale, complexity and the opportunity to tackle unique challenges and drive creative solutions. If you like an impact focused environment where you will be essential to enable Meta's unrivaled AI-enabled infrastructure, this role may be a strong fit!

• 8+ years of experience in business strategy, operations, or a related field, in supply chain role
• A Bachelor's degree in business or a related field
• Proficiency in data analysis, problem-solving, and developing data-driven strategies
• Effective communication skills with stakeholders at all levels
• Experience in leading teams, managing projects, and influencing stakeholders
• Experience building relationships with legal, policy, finance, and other cross-functional partners and driving discussions around strategic projects
• Demonstrated experience of thinking critically, analyzing complex situations, and developing effective strategies
• Experience using data analysis to define, scope, and recommend solutions for ambiguous cross-functional operational challenges
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with technical concepts relevant to supply chain operations
• Experience supporting large scale supply chain organization
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)