Supply Chain Operations Lead, Infrastructure Supply Chain

Meta

$120K — $150K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in business strategy, operations, or supply chain roles.
  • Bachelor's degree in business or related field.
  • Proficient in data analysis and problem-solving.
  • Strong communication skills for stakeholder engagement.
  • Proven leadership experience managing projects and teams.
  • Experience collaborating with legal, policy, and finance teams.
  • Ability to analyze complex situations and develop effective strategies.

Responsibilities

  • Identify and propose solutions to operational challenges.
  • Drive improvements across Infrastructure Supply Chain & Engineering.
  • Lead collaboration efforts across departments on strategic initiatives.
  • Communicate effectively with all organizational stakeholders.
  • Operationalize business process optimization goals.
  • Utilize data to identify trends and develop recommendations.
  • Build partnerships with cross-functional teams for successful collaboration.

Benefits

  • Opportunity to work in a high-impact, AI-enabled environment.
  • Engagement with Meta's global supply chain and data center infrastructure.
  • Chance to develop and implement innovative solutions.
  • Work alongside talented professionals across diverse fields.
  • Access to ongoing professional development and AI skill training.
Full Job Description
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! We bring industry-leading data center infrastructure and computing systems to power the needs of Meta's global community of 3B+ users and accelerate the future of AI.

Responsibilities

Identifying and proposing solutions to operational challenges and roadblocks
• Driving processes to solution areas for improvement across Infrastructure Supply Chain & Engineering and implementing changes to increase efficiency and effectiveness
• Leading and collaborating with teams across different departments to drive strategic initiatives
• Communicating effectively with stakeholders at all levels of the organization
• Operationalize goals around business process optimization and efficiency
• Utilizing data to identify trends, analyze performance, and develop data-driven recommendations
• Building partnerships with key cross functional partners across Infrastructure, Legal, Policy, Finance, etc. to ensure successful collaboration across initiatives

Minimum Qualifications
• 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

Preferred Qualifications
• 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)

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