Staff Manufacturing Engineer

About the role:

The Staff Manufacturing Engineer is responsible for leading the development, applied research, and implementation of industrial models, business analytics solutions, and analytical tools that set manufacturing performance targets and support business decision-making

The Sr. Manufacturing Engineer works with manufacturing leadership and cross-functional teams to analyze operational challenges and evaluate improvement opportunities to define the roadmap for changes to resources, infrastructure, and manufacturing processes driven by meaningful insights derived from the organization's key analytical tools.

What you'll do:

• Lead the Industrial and BI Engineering team in turning data into information, information into insights, and insights into key business decisions that steer the direction of the manufacturing organization.

• Drive efforts in developing, maintaining, and continuously improving the effectiveness and scope of industrial models, analytical tools, data structures, and business intelligence solutions that support operational and strategic decision-making.

• Work with the Industrial Engineering team to investigate, evaluate, and propose the use of new technologies and data-driven solutions in automation, modern manufacturing, business intelligence, and advanced analytics.

• Identify and drive enterprise-level Kaizen and continuous improvement projects by applying statistical analysis, optimization techniques, and structured problem-solving methodologies that target key production metrics such as cycle time, cost, capacity utilization, throughput and on time delivery while influencing behaviors/decisions at several levels of the organization.

• Serve as the focal point for engineering analysis related to changes in technology, AI, products, manufacturing processes, and systems by applying statistical analysis, analytical modeling, and evidence-based recommendations.

• Own and continuously enhance the business intelligence suite of analytical models and decision-support tools for short-term and long-range planning, ensuring model accuracy, continuous improvement, and actionable business insights.

• Interface with multiple departments to conduct statistical and business analyses that drive valuable business insights, using SQL, Python, and business intelligence tools to access, analyze, manipulate, and visualize complex multivariate data.

• Lead cross-functional analytical projects from problem definition through solution implementation by identifying business needs, developing analytical strategies, and communicating insights and recommendations to stakeholders

• Provide technical leadership and guidance to junior team members in the execution of complex analytics, modeling, and continuous improvement projects while promoting data-driven decision-making and analytical best practices.

• Evaluate and apply advanced statistical, analytical, optimization, and simulation methodologies to manufacturing processes and operational challenges, using quantitative analysis to develop evidence-based recommendations to improve manufacturing performance, operational efficiency, and strategic decision-making.

• Conduct applied research and analytical evaluations of manufacturing processes, production metrics, and business challenges by investigating trends, evaluating operational performance, and identifying improvement opportunities through data-driven and evidence-based analysis.

• Develop, validate, and continuously improve predictive and prescriptive analytical models, dashboards, and decision-support solutions using statistical analysis and data mining techniques to support capacity planning, resource optimization, cost analysis, operational forecasting, and manufacturing performance improvement.
• Collaborate with cross-functional teams, including Manufacturing, Supply Chain, Operations, Engineering, and Finance, to translate complex analytical findings into actionable recommendations that support resource planning, technology investments, process improvements, and operational decision-making.
• Investigate and evaluate emerging analytical methodologies, statistical techniques, optimization approaches, and business intelligence technologies to identify opportunities for innovation and continuous improvement in manufacturing operations.

What you'll bring:

• Bachelor’s degree in industrial engineering, Mechanical Engineering, or related field, with 2 years of experience. Alternatively, Master’s or Doctoral degree with any amount of experience accepted.

• Exposure to business, finance, or economics is advantageous.

• Relevant experience in an engineering role. Experience in manufacturing environments.

• Experience with business intelligence and analysis tools such as SQL, Python, Tableau, and Power Bl.

• Experience with Microsoft Office tools (Outlook, Excel, and Word).

• Exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a good communicator, and is passionate about enabling the future of cloud computing through data-driven manufacturing and continuous innovation.

• Growth mindset: you believe in continuous learning by dedication of time, effort, and energy.

• Takes independent initiative to complete projects with a sense of urgency.

• Fluency in mathematical computing with at least one programming language (e.g. Python, R, Java), and the ability to learn technical methods and tools independently

• Fluency in data visualization / presentation skills, including the ability to simplify results & statistical concepts into simple and actionable insights

• Hands-on experience building, running, and analyzing simulations; designing analytical models; and applying statistical analysis and optimization techniques

• Ability to convert complex (often data driven) topics to clear overviews and insights.

• Experience applying analytical methods, statistical analysis, and data-driven decision-making to improve manufacturing performance and business outcomes.

• Experience working with cross-functional teams to solve complex operational and business challenges using data analytics.

ZT Systems, a Sanmina Company, assesses market data to ensure a competitive compensation package is created for all our employees. The typical base salary for this position is expected to be between $93,000 and $136,400annually. If hired, the final base salary will be determined on an individual basis taking into consideration experience, skills, knowledge, education and/or certifications.

Base salary is just one component of ZT Systems total rewards philosophy. We take pride in offering a wide range of benefits and perks that appeal to the variety of needs across our diverse employee base. Other rewards may include bonus, paid time off, 401(k) retirement savings plan, tuition reimbursement, wellbeing resources, and more.

We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this opportunity but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

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About ZT Systems

At ZT Systems, a Sanmina Company, you’ll get to do work you are proud of alongside smart, passionate people. Every day, there are opportunities to collaborate with the best in the industry to design, build, and deliver impactful solutions to world-class customers. Along the way, you will gain hands-on experience in a fast-paced environment that’s challenging, rewarding, and career-defining.

A culture built around our values we work hard and think fast. We view challenges as opportunities-to do better, push harder, and be faster than we were the day before. When we fail, we learn from it and move on together. And when we succeed, we use the momentum to go even further. We create value with everything we do, building the foundation of today-and transforming the future of tomorrow.

Join ZT Systems and help us build technology infrastructure that connects the world.

What We Offer

At ZT Systems, a Sanmina Company, we believe that investing in our people is key to our continued growth and innovation. When you join our team, you’ll gain access to a comprehensive and inclusive benefits package designed to support your well-being, financial security, and professional development-both now and in the future.

Compensation & Financial Security

-Competitive base salary

-Performance-based annual bonus eligibility

-401(k) retirement savings plan

-Tuition reimbursement for eligible education programs

Health & Wellness

-Comprehensive medical, dental, and vision coverage with access to leading providers

-Mental health resources and employee wellness support programs-

-Company-paid life and disability insurance

Time Away & Work-Life Balance

-Paid time off (PTO) and company-paid holidays

-Parental leave and family care support programs

Growth & Purpose

-Structured training programs and on-the-job learning opportunities

-Matching gifts and volunteer programs to support causes you care about

These benefits are available to eligible employees and are designed to grow with you as your career evolves. Full benefits and eligibility varies by work location. Learn more about our benefits here.

ZT Group Int’l. is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. ZT Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Please be aware that certain positions may require the applicant to either 1) be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or 2) be eligible to obtain an export control license or license exception from the Bureau of Industry and Science & U.S. Department of Commerce. All offers of employment will be conditional subject to the foregoing.