We are looking for a Manufacturing Manager to join our team in one of today’s most exciting technologies.  This role will report to the Sr. Manager, Manufacturing and based in Newark, DE. This is a fully on-site, in office role. This position will work Friday, Saturday and Sunday. Initial training may include day shift hours Mon-Thurs, or other shifts as needed.

Role and Responsibilities:

• Manage a diverse team of indirect and direct reports inclusive of supervisors, team leads, team members and other resources in achieving the production schedule while improving safety, quality, and efficiency.
• Hire, develop, and train manufacturing staff to support plant ramp ups and continued operations.
• Develop and implement production scalability, process workflow and employee development plans.
• Initiate and facilitate problem solving groups to resolve issues to meet the current and future needs of the company.
• Lead training in Lean Manufacturing concepts, tools, and principles in our production areas.
• Support development of policies, procedures and standardized work for manufacturing and production.
• Drive continuous improvement activities through hands-on approach using tools and concepts related to Pull System, Kanban, Standardized Work, 5S, Visual Management, Problem Solving and kitting.
• Responsible for creating and maintaining training and safety programs, workgroup boards, continuous improvement projects.
• Lead and utilize problem solving methods (A3’s, 8-Step etc.) along with project tracking mechanisms (i.e., Rolling Action Item List (R.A.I.L)
• Develop and implement change management process to ensure smooth changes in all aspects of production.
• Coordinate with other groups like warehouse, quality, and final integration testing (FIT) to ensure production needs are met.
• Responsible for the optimization of the entire value-stream from the supply chain through the delivery of Bloom Energy servers to customers.
• Support the launch of new products and processes

• Ability to manage multiple shifts and flexibility to work on any of the shifts, or in any area of the plant, based on company needs.

• Develop dashboards for information visualization and decision-making improvements
• Analyze data to pin-point root cause of defects and production challenges

Skills and Experience: 

• BS Mechanical, Electrical, Manufacturing Engineering or equivalent related experience
• Minimum 6 years of experience in high volume complex assembly or advanced manufacturing environment as a leader
• Experience implementing Lean Manufacturing tools and principles with proven results
• Experience managing manufacturing teams, automation equipment and MES Systems
• Knowledge of Warehouse and Inventory Management
• Hands on experience with ERP implementation
• Experience with Oracle: Warehouse Management System (WMS)
• Promote strong employee relations through strong motivation and mentoring skills
• Strong written, verbal, and interpersonal communication skills
• Highly advanced analytical and cognitive skills.
• Must be a creative thinker and have a vision of how to raise process maturity to the next level.
• Must demonstrate a bias for action and implementation
• Experience and acumen with electrical components preferred
• Business experience in hi tech or low volume / high mix industries preferred
• Computer systems knowledge including strong proficiency with Excell and MS Office programs
• Strong data analysis and data driven decision making skills

Physical Requirements:

• Ability to stand/walk for up to 10-12 hours per shift
• Occasionally lift/carry up to 25–50 lbs
• Use hands and fingers to operate machinery controls and computers throughout the shift
• Visual acuity sufficient for product inspection and reading digital/printed materials
• Hearing ability to detect alarms and communicate effectively with staff
• Ability to perform essential tasks with or without reasonable accommodation

Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including, but not limited to, relevant skills and experience.