LeanDNA
Sr. Implementation Manager
LeanDNA, Austin, Texas, us, 78716
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 toolsLead project planning, execution, and delivery, ensuring alignment with business goalsDevelop and manage project schedules, budgets, and resource allocationIdentify and mitigate project risks and issues, implementing effective solutionsServe as the primary point of contact for clients, stakeholders, and team members throughout the project lifecycleCoordinate with technical teams to ensure successful implementation of engineering solutionsMonitor project progress and performance, providing regular updates to stakeholdersDocument and implement customer data mapping requirements and resolve mapping changes, consulting additional internal resources as neededManage multiple implementation projects simultaneously while delivering projects on timeQualifications:
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 implementationsStrong understanding of project management methodologiesProficiency in project management tools (e.g., Microsoft Project, Jira, Asana)Ability to work well with customers and internal teamExcellent verbal, written and presentation communication skillsNice to Have:
Experience working with ERP systems and other business systemsComfortable with SQLGood understanding of supply chain/manufacturing processesExperience with data pipeline engineeringOpen to travel: Although most implementations are done remotely, there may be some for which traveling to the site is helpful
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 toolsLead project planning, execution, and delivery, ensuring alignment with business goalsDevelop and manage project schedules, budgets, and resource allocationIdentify and mitigate project risks and issues, implementing effective solutionsServe as the primary point of contact for clients, stakeholders, and team members throughout the project lifecycleCoordinate with technical teams to ensure successful implementation of engineering solutionsMonitor project progress and performance, providing regular updates to stakeholdersDocument and implement customer data mapping requirements and resolve mapping changes, consulting additional internal resources as neededManage multiple implementation projects simultaneously while delivering projects on timeQualifications:
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 implementationsStrong understanding of project management methodologiesProficiency in project management tools (e.g., Microsoft Project, Jira, Asana)Ability to work well with customers and internal teamExcellent verbal, written and presentation communication skillsNice to Have:
Experience working with ERP systems and other business systemsComfortable with SQLGood understanding of supply chain/manufacturing processesExperience with data pipeline engineeringOpen to travel: Although most implementations are done remotely, there may be some for which traveling to the site is helpful