Maintenance Supervisor - 1st Shift - Holland, MI

Job Overview Supervise a team to manufacture high-quality products on schedule and within budget. Oversee daily production activities, prioritize tasks, and address production issues related to machinery and processes. Essential Functions Assign and oversee production tasks: Assign and oversee production tasks, ensuring clear understanding of work instructions, quality standards, and production targets. Ensure compliance with safety and quality standards: Enforce compliance with safety regulations, quality standards, and company policies, ensuring a safe and compliant work environment. Foster a culture of inclusion and belonging, promoting member engagement, sustainability, and continuous improvement. Foster a positive and collaborative team environment: Foster a positive and collaborative team environment, promoting open communication, teamwork, and a shared commitment to excellence. Implement continuous improvement and innovation: Champion and participate in continuous improvement initiatives, such as leveraging lean tools, to enhance efficiency, quality, and cost-effectiveness. Manage team resources and budget: Manage team resources, including labor, materials, and equipment, to optimize production efficiency and control costs. Monitor production performance and provide feedback: Encourage monitor production performance, track progress against goals, and identify areas for improvement. Supervise a team of manufacturing members: Provide day-to-day supervision, guidance, and support to a team of manufacturing members, ensuring a safe and efficient work environment. Must be able to perform all essential job functions with/without accommodation. Uses office automation, communication, software, and tools used in Haworth office environment. Performs other duties within scope as assigned. Required Qualifications Education: Bachelor's Degree or equivalent in relevant field of study Education Equivalency: Associate's Degree plus 2 years related experience OR 4 years related experience if no post‑secondary education Work Experience: 3 years related experience Supervisory Experience: 2 years supervisory experience Military Equivalency at Internal Candidates: Supervisory or other leadership experience* *Examples of "other leadership experience" may include any of the following: Holding a Team Lead position in Operations; Serving as a project lead where the project had a sizeable business impact and involved guiding a cross‑functional team to results, typically in a similar industry; Taking on a leadership role in a Member Resource Group (MRG) or other work‑related committee requiring leadership skills; Leading a large‑scale change where change management expertise was required; Creating and implementing a multi‑year strategic plan; Completing a Haworth leadership development program, including our Aspiring Leader Program (ALP); Completing Haworth Management System (HMS) champion project(s); Mentoring interns. Preferred Qualifications Demonstrated experience in strategic or long‑range maintenance planning, including predictive or condition‑based maintenance approaches. Strong digital aptitude, with the ability to leverage data, dashboards, or analytics tools to drive maintenance decisions and improve uptime. Working knowledge of AI‑enabled tools (e.g., predictive analytics, automated diagnostics, CMMS enhancements, or AI‑assisted troubleshooting). Foundational proficiency in Python or similar scripting languages for data analysis, automation, or integration with maintenance systems (e.g., analyzing downtime trends, automating reports, or improving workflows). Experience using or optimizing CMMS/EAM systems; familiarity with data extraction, reporting, or API integrations preferred. Demonstrated curiosity and willingness to experiment with emerging technologies to improve reliability, safety, and efficiency. Strong system thinking mindset with the ability to translate technical insights into practical, floor‑level execution. Effective communicator capable of coaching teams through technology adoption and change. Exposure to predictive maintenance tools (vibration analysis, thermal imaging, sensor‑based monitoring). Experience collaborating with IT, data, or automation teams. Familiarity with Lean, Six Sigma, or continuous improvement methodologies supported by data analytics. #J-18808-Ljbffr