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.

The Data Integration team at LeanDNA is responsible for integrating customer data with the LeanDNA cloud solution. Senior Implementation Engineers help our new customers ensure we are getting high quality and current data from the source systems, and that this data is reliably uploaded to the cloud in a uniform format that can be consumed by the LeanDNA analytics and reporting engines. This role is essential in helping LeanDNA customers quickly and successfully utilize our cloud-based Supply Chain Analytics solution to drive results for their businesses.

The ideal candidate would have prior experience with data technologies, implementation practices, and data analytics. In addition, the candidate will possess both the expertise and communication skills to effectively influence our customer’s senior IT staff.

You will be working alongside customer IT staff and business analysts to retrieve customer data and understand the customer’s data structures and semantics. You will use your data analytics and implementation capabilities to transform the data and upload it to the LeanDNA cloud solution. You will be working with the LeanDNA Customer Success team to ensure that the data is of the highest possible quality, and with the LeanDNA Engineering team to integrate into the LeanDNA data pipeline.

This is a fantastic role for an experienced hands-on technical project manager that thrives in an extremely fast-cycle deployment world. Your energy and enthusiasm to work and grow alongside our high-trajectory team are essential!

Responsibilities:

• Perform initial data integration with new customers using proprietary extraction and transformation tools.

• Lead project planning, execution, and delivery, ensuring alignment with business goals.

• Develop and manage project schedules, budgets, and resource allocation.

• Identify and mitigate project risks and issues, implementing effective solutions.

• Serve as the primary point of contact for clients, stakeholders, and team members throughout the project lifecycle.

• Coordinate with technical teams to ensure successful implementation of engineering solutions.

• Monitor project progress and performance, providing regular updates to stakeholders.

• Document and implement customer data mapping requirements and resolve mapping changes, consulting additional internal resources as needed

• Manage multiple implementation projects simultaneously while delivering projects on time 

Qualifications:

The following qualifications will contribute significantly to the success of a Implementation Engineer in LeanDNA:

• 3-5  years of experience in project management, particularly in engineering or technology implementations.

• Strong understanding of project management methodologies.

• Proficiency in project management tools (e.g., Microsoft Project, Jira, Asana).

• Ability to work well with customers and internal team.

• Excellent verbal, written and presentation communication skills.

Nice to Have:

• Experience working with ERP systems and other business systems

• Comfortable with SQL.

• Good understanding of supply chain/manufacturing processes

• Experience with data pipeline engineering

• Open to travel: Although most implementations are done remotely, there may be some for which traveling to the site is helpful.