Production Planning Manager at Incodema3D

Village of Freeville, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

100000.0

Posted On

05 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Production Scheduling, Workflow Optimization, Capacity Planning, ERP Management, MES Management, Lean Principles, Additive Manufacturing, CNC Machining, Resource Allocation, Bottleneck Reduction, Quality Assurance, Excel

Industry

Aviation and Aerospace Component Manufacturing

Description

Incodema3D is a leader in precision manufacturing, bridging the gap between cutting-edge additive manufacturing (3D Printing) and traditional CNC machining. We deliver high-precision, cost-effective components to industries requiring uncompromising quality. Job Summary We are seeking a highly organized and analytical Production Planning Manager to oversee our end-to-end production lifecycle. This role bridges the gap between additive (DMLS, PBF) and subtractive (CNC Milling/Turning) workflows to meet efficiency, quality, and delivery goals. You will be responsible for managing production schedules, optimizing resource allocation, reducing bottlenecks, and driving maximum throughput for high-precision, cost-effective manufacturing.] Key Responsibilities Production Scheduling: Develop and maintain daily, weekly, and monthly production schedules that synchronize additive manufacturing builds with post-processing, CNC machining, and finishing. Workflow Optimization: Lead the manufacturing process flow from order to shipment, integrating both additive and subtractive workflows to maximize efficiency. Capacity Planning: Analyze build times vs. machine availability for both 3D printers and CNC machines; manage powder inventory and material resources. ERP/MES Management: Manage data within ERP/MES systems to ensure accurate, real-time tracking of work-in-progress (WIP) across multiple production stages. Bottleneck Reduction: Identify inefficiencies, implement lean principles, and drive continuous improvement to enhance throughput and reduce downtime. Collaboration: Work closely with engineering and quality teams on print file optimization (build files), support removal, heat treatment, and surface finishing. Quality Assurance: Ensure all production steps adhere to safety, quality, and industry-specific standards (e.g., ISO 9001/AS9100). Qualifications Bachelor’s degree in engineering, supply chain management, or business operations and a minimum of 3+ years of production planning experience, preferably in a fast-paced, high-precision manufacturing environment. (An equivalent combination of education and experience will be considered); strong experience with MES (Manufacturing Execution Systems) and ERP systems for real-time shop floor tracking; strong proficiency in Excel and specialized scheduling software; demonstrated knowledge of both additive manufacturing (DMLS/PBF) and traditional machining (CNC); exceptional communication, organizational skills, and high attention to detail, and proven ability to manage multiple priorities in a dynamic team environment are required. Employment decisions are based upon job related reasons regardless of race, ethnicity, color, religion, sex, sexual orientation, age, national origin, disability, gender identity, genetic information, military or veteran status, or any other status protected by law. In the event you require special assistance or an accommodation to apply due to a disability, please contact us at (607) 208-8210. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3),or eligible to obtain the required authorizations from the U.S. Department of State. Sponsorship is not available.

Responsibilities

Oversee the end-to-end production lifecycle by synchronizing additive manufacturing and CNC machining workflows. Responsible for managing production schedules, optimizing resource allocation, and reducing bottlenecks to maximize throughput.