Lead Production Project Engineer
Listed on 2026-05-30
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Engineering
Manufacturing Engineer
About Swire Coca-Cola
Who is Swire Coca-Cola? We are a family-owned bottling company with a story spanning over two centuries. We are one of the largest bottlers of Coca‑Cola in North America and distribute more than 50 beverage brands and flavors, creating joy for our customers every day. Our 8,000+ driven employees work hard as part of a team that delivers refreshment to over 30 million consumers across 13 states.
WhyYou'll Love Working at Swire Coca-Cola
Swire Coca‑Cola is committed to providing balance to support you in all aspects of your life, both at work and beyond. We offer the benefits you need for physical, financial, and emotional well‑being.
Benefits- Health coverage (3 medical options, dental and vision). 401(k) Retirement Plan w/company match
- Health Savings Accounts w/company match
- FREE virtual primary care, acute care and physical therapy
- FREE Employee Assistance Program
- Company paid (vacation, holidays, sick time, bereavement, jury duty, maternity/parental, disability leave and volunteer time)
- Discounted & free product
- Tuition reimbursement
- Opportunities for career advancement
In addition to health benefits, Swire Coca‑Cola is proud to offer you opportunities where you help give back directly to the communities and causes you care about.
Note:
Enrollment in a Swire Medical Plan is required for some benefits.
The Lead Production Project Engineer provides enterprise-level leadership in the planning, development, and execution of capital and production engineering initiatives across the supply chain network. This role leads complex, cross‑functional projects from concept through implementation, ensuring alignment with operational strategy, safety standards, and financial objectives. The position also owns the development and advancement of manufacturing data systems that support supply chain operations.
This includes establishing strategies, tools, and analytical capabilities—including the application of AI—to enable world‑class manufacturing through effective project execution, data collection, and performance analysis. Working in close partnership with plant leadership, maintenance teams, site Production Project Engineers, and Production Operations, this role drives improvements in equipment capability, operational efficiency, and execution standards while establishing scalable best practices across the organization.
Details
Job Level: 7
Responsibilities- Lead the strategy, planning, and execution of capital and production engineering initiatives that drive measurable improvements in manufacturing performance across the Supply Chain network
- Provide leadership and oversight for complex capital projects including equipment replacement, new product or package introductions, automation initiatives, and capacity expansions
- Own end‑to‑end project delivery, including scope definition, capital justification, bid management, vendor selection, project scheduling, and implementation, ensuring projects are delivered safely, on time, and within budget
- Serve as the accountable leader for project financial performance, managing CAPEX budgets and ensuring effective cost control throughout the project lifecycle
- Establish and advance data‑driven manufacturing strategies through the development of analytical tools and systems, including the application of AI and advanced data analytics to support operational decision‑making
- Drive the adoption and capability of data utilization across operations, leveraging sources such as downtime tracking systems, process centerlines, quality data, and production reporting to identify opportunities and eliminate losses
- Identify risks, resolve technical and operational challenges, and ensure timely issue resolution to maintain project momentum and operational continuity
- Oversee OEMs, system integrators, and service providers to ensure effective integration of equipment, processes, and manufacturing data systems
- Partner with production, maintenance, and warehouse teams at all organizational levels to translate operational data into actionable improvement initiatives
- Evaluate and implement emerging technologies (e.g., vision systems,…
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