Manager Data Engineering and Analytics at Lamb Weston in EAGLE, Idaho

Job Description:

Job Description Summary

We are looking for a Manager Data Engineering and Analytics to lead our growing team of data and analytics engineers. You will be responsible for defining and managing a long-term vision and portfolio of initiatives to improve the customer experience and business results through creating world-class data infrastructure and enabling data-driven analytics. This includes establishing standards and optimizing our data engineering, data flow and data collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The candidate also demonstrates skills in working with multiple business areas and can analyze their data requirements in a harmonious way to optimize both the data landscape as well as the analytics around it. The Manager Data Engineering and Analytics will support our Enterprise Data Architect and lead a team of Data Engineers and BI Analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and proficient at supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's reporting and analytics infrastructure to support our next generation of products and data initiatives.



Job Description

• Collaborate on the creation and maintenance of optimal data pipeline architectures


• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.


• Work with peers to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies


• Lead a team to
  
  
  • assemble large, complex data sets that meet functional / non-functional business requirements
  
  
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  
  
  
  


• May also be called on to perform tasks related to Data Engineering and setting up analytics environment


• Work with stakeholders including the Executive teams to assist with data-related technical issues and support their data infrastructure needs


• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions


• Work with data and analytics experts to strive for greater functionality in our data systems.


• Analyze, validate, prioritize, and provide cost estimates for service requests and project work


• Develop and maintain an analytics roadmap in conjunction with the overall Data Architecture roadmap


• Work with project managers to develop project plans and manage to the plans


• Develop and publish standards that govern the data engineering and analytics domain.


• Establish service delivery metrics for service requests and project work.


• Perform career management functions for the data analytics team including establishing annual goals and development plans, annual reviews, and compensation planning.

• We are looking for a candidate with 5+ years of experience in managing a team of Data Engineers and BI Analysts or management experience in a related field.


• Bachelor's Degree in Software, Engineering, Computer Science, Math or Information Systems, Masters or PHD preferred.


• Experience in data engineering, Analytics engineering, or data architecture.


• Advanced experience with structured and non-structured data storage architectures, and big data analytics platforms.


• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.


• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.


• Strong project management and organizational skills.


• Experience and knowledge of departmental functions, terminology, and interrelationships for data types such as: Customer (Create, Accts Receivable, Finance, Sales & Mktg, Customer Support, etc.), Vendor (Create, Procurement, Supply Chain, Accts Payable, etc.), and Material (Create and Change, Procurement, Supply Chain, etc.)


• Strong oral and written communication skills with ability to furnish concise information


• Experience supporting and working with cross-functional teams in a dynamic environment.


• Demonstrated ability to solve problems, determine appropriate action, and complete projects with little direction.


• Strong interpersonal communication skills

• Experience with AWS S3, Sagemaker, Step Functions and other AWS toolsets


• Experience with Microsoft SQL Server


• Experience with Boomi or other IPaaS tools


• Experience with Extract, Transform and Load (ETL) methodologies and tools


• Experience with Python or R scripting.


• Knowledge of SAP and SAP data structures preferred or similar ERP tools.