Senior Manager, Operational Excellence

• Own lifecycle quality and reliability performance for beverage equipment platforms, ensuring durability and uptime targets are met pre- and post-launch. 

• Conduct accelerated life and service validation testing, leveraging endurance simulations and highly automated lab infrastructure to prove system integrity across service cycles. 

• Apply Reliability-Centered Maintenance (RCM), Failure Modes and Effects Analysis (FMEA), and root cause methodologies to eliminate recurring field failures and design in reliability. 

• Define preventive and predictive maintenance standards for global execution through locally managed operating units and bottler networks. 

• Drive continuous improvement initiatives by integrating Lean, Six Sigma, and Total Productive Maintenance (TPM) methods to enhance efficiency and sustain equipment performance across geographies. 

• Lead modernization of testing capabilities through lab digitalization and automation strategies that enable touchless, data-driven validation workflows. 

• Apply AI-enabled reliability modeling tools (digital twins, Weibull, Bayesian analysis) to predict failure points, shorten validation timelines by at least 50%, and improve scale-up confidence. 

• Leverage IoT-connected monitoring solutions to stream real-time performance data from the field, accelerating response times and closing the design feedback loop. 

• Define, track, and cascade reliability metrics—including MTBF, MTTR, OEE, first-time quality, and total cost of ownership—across equipment platforms and regional networks. 

• Collaborate across global and local teams to integrate field learnings into next-generation platform designs and influence decision-making through actionable insights. 

Requirements & Qualifications 

• Bachelor’s degree in Mechanical, Reliability, Industrial Engineering or related technical discipline; advanced degree or professional reliability certification (CRE) preferred. 

• Significant experience in reliability engineering, equipment development, and accelerated life testing within global manufacturing or equipment environments. 

• Deep knowledge of reliability methodologies including RCM, FMEA, and root cause analysis, combined with proven application of Lean, Six Sigma (Black Belt preferred), and TPM principles. 

• Strong capabilities in digital transformation for testing ecosystems and automation of validation processes using advanced lab technologies. 

• Fluency in reliability data modeling techniques (digital twin, Weibull analysis, Bayesian prediction) and deployment of AI-enabled predictive solutions. 

• Experience leveraging IoT connectivity and advanced analytics to monitor equipment health and optimize lifecycle performance. 

• Familiarity with operational KPIs such as MTBF, MTTR, availability, OEE, first-time quality, and total cost of ownership, and ability to operationalize these across networks. 

• Demonstrated capacity to influence functional and regional stakeholders in a matrixed global organization to implement operational excellence initiatives. 

• Strong analytical, technical, and communication skills to translate data-driven insights into actionable business strategies. 

What We’ll Do for You 

• Enable your leadership in shaping Coca‑Cola’s next-generation operational excellence framework through AI-powered predictive engineering and advanced analytics. 

• Provide opportunities to modernize testing capabilities and lab operations with cutting-edge digital and automation technologies that set global reliability standards. 

• Offer exposure to global equipment lifecycle programs, from development to deployment, ensuring broad impact across multiple platforms and regions. 

• Support professional growth through involvement in strategic initiatives that integrate continuous improvement, data innovation, and global collaboration.