LeanDNA is helping solve the $150B problem that global manufacturers face–excess inventory tying up critical working capital and keeping manufacturing companies from being as efficient as they need to be. Without an effective way to optimize inventory, manufacturers are buying too much, too little, or placing inventory in the wrong place at the wrong time. Companies are stuck fighting operational fires related to critical inventory shortages, creating delays in delivering their product to customers on time.

LeanDNA's factory inventory optimization and shortage management solution quickly empowers supply chain professionals to dramatically reduce excess inventory, deliver on time, and establish operational command of their organization’s inventory operations. LeanDNA optimizes the inventory management process by adding the much-needed (and much-appreciated) artificial intelligence into the forgotten area of the business: The factory. It’s not just about smart inventory planning—true optimization occurs when procurement leaders have command over the operation, and the supply chain teams tasked with bringing those plans to life have total visibility, AI-driven recommendations, and a clear game plan for hitting their inventory goals every time.

Company Overview:

The LeanDNA product team utilizes customer ERP data to offer actionable insights and reporting aimed at optimizing inventory management. As our product continues to evolve, we require skilled professionals to integrate new data elements from customers' ERP systems. We collaborate with various ERP systems and conduct pilot programs to validate new features before wider implementation.

Job Summary:

We are seeking a Data Enablement Engineer to facilitate the integration of new data elements into our system from a variety of ERP systems. The ideal candidate will have proficiency in data technologies and SQL, a passion for data analytics, and excellent communication skills. This role involves collaborating with Product Management and Engineering to understand new features, working with customers to retrieve data elements, and implementing scalable data transformation functions.

Responsibilities:

• Collaborate with customers and their IT teams to identify required data elements in diverse ERP systems.

• Develop scalable data transformation functions that can be reused across customers using the same ERP systems.

• Coordinate with product management to devise a rollout plan for integrating new features across all customers.

Qualifications:

• Ability to quickly grasp systems and business processes.

• Proficiency in SQL.

• Experience in data pipeline engineering.

• Strong understanding of data design principles.

• Excellent communication skills.

Required Skills:

• 2+ years of experience as a data engineer, including working with databases and data pipelines.

• Proven ability to effectively interface with customers.

Nice to Have:

• Good understanding of supply chain processes.

This role offers an exciting opportunity for individuals passionate about data and eager to contribute to a dynamic, fast-paced environment. Join our high-trajectory team and grow your skills while making a significant impact on our product development and customer satisfaction.