Operational Excellence Manager
Description
As a part of the Manufacturing Operations team at Meta, you will be responsible for managing day-to-day operations and sustaining technical excellence with our global manufacturing partners. The Manufacturing Ops team aids in developing contract manufacturer (CM) operational capabilities and implementing strategy in line with the product roadmap. The team collaborates cross-functionally to assess risks on-site, provide solutions, ensure factory readiness, meet overall ramp goals, and ensure the success of the ramp with short- and long-term capacity planning and execution to the end of life (EOL). Beyond traditional factory management, you will act as a Technical PM to drive line layout & process optimization, labor/cycle time reduction, yield maturity, and smart factory evolution with the cross-functional team.
Responsibilities
Drive Shop-Floor Transformation & Waste Elimination: Eliminate sources of waste on CM lines—targeting excessive dwell time (e.g., adhesive cure cycles), batching, and unnecessary handling—while driving SMED changeover reductions for high-mix variants to improve overall line throughput and cycle time Deploy Lean Frameworks & Pull Replenishment: Size and optimize strategic buffer structures between assembly lines, internal stores, and tier suppliers, converting batch steps into continuous flow as upstream reliability improves Establish Daily Management, OEE, & Yield Tracking: Deploy tiered visual control boards, structured daily reviews, and andon response systems to track line-level Overall Equipment Effectiveness (OEE), First-Pass Yield (FPY), and throughput on constraint equipment, ensuring that abnormalities reach decision-makers within one shift Cascade Objectives via Hoshin Kanri: Align site-level operational targets down to the line level using single-page A3 plans with clear metric ownership (OEE, FPY, cycle time, time-to-volume) and structured review cadences Scale CM Capability & Lean Playbooks: Execute the Director’s Lean playbooks by coaching, training, and certifying CM partner teams on live projects, ensuring continuous improvement capability persists independently on site Enforce Standard Work Adoption: Drive shop-floor adoption and daily enforcement of the standard work elements and line-design kits created by the industrial engineer to safeguard First-Pass Yield (FPY) Inform Line Optimization & Ramp Speed: Provide qualitative floor-level feedback during NPI pilot builds to help the industrial engineer refine future capacity models and accelerate time-to-volume for new product launches This role will require regular travel to CM sites across various global locations
Qualifications
10+ years in manufacturing operations, lean transformation, or industrial engineering within consumer electronics or high-volume discrete manufacturing Demonstrated success driving operational results and securing partner alignment without positional authority Extensive hands-on experience tracking and improving line metrics (OEE, FPY, cycle time, throughput) alongside value stream mapping, pull systems, standard work, and visual management Proven deployment of structured problem-solving (A3, root cause analysis, PDCA) and daily management systems across multiple manufacturing sites Experience navigating cross-regional environments, technical partnerships, and cultural nuances across global manufacturing sites Experience implementing TPM (Total Productive Maintenance) or OEE-driven improvement programs Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience leading operational transformations in consumer electronics or wearables contract manufacturing environments Direct experience in deploying Hoshin Kanri and A3 planning at the site or line level Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Lean Six Sigma Black Belt certification, or equivalent Familiarity with smart factory concepts, automation, and Industry 4.0 principles