Support the development of the ADUSA e-commerce fulfillment strategy and execution by informing the design through data and insights.
Support the Optimization team in the design and improvement of optimal fulfillment models that fit business needs through data, requirements gathering, documentation, working directly with vendor partners and cross functional teams within ADUSA
Work directly with counterparts in Tech to aid their IT integration and systems design approach, through providing data and insights on current system performance, as well as representing ADUSA Fulfillment Strategy & Solutions in the IT design, ensuring requirements are met through the appropriate design
Provide subject matter expertise in collaborating with counterparts in ADUSA Data Science to improve tactical fulfillment processes
Use data from current operations to identify improvement opportunities in tactical processes like item slotting, order batching, tote cubing, path finding, etc. and work with data science counterparts to deliver solutions to address these opportunities
Develop specific KPIs to evaluate solutions and individual implementations and help create the appropriate dashboards/reports to monitor performance of those KPIs
Work with counterparts in other areas of ADUSA (e.g., industrial engineering, business development, merchandising, etc.) to identify and shape improvement opportunities and engineering studies delivering required insights to improve output
Contribute to a Optimization department that promotes partnership behaviors, collaborates across functions, keeps up with relevant developments in the industry, prioritizes personal development, puts development front and center, and contributes to a culture of belonging.
Bachelor's degree in Operations Management, Continuous Improvement or Computer Science, Computer Information Systems, or related fields would be beneficial to this role
Understanding of the dynamic handling characteristics, constraints and risks associated with the wide range of material handling systems.
Understanding of SQL and/or other data analysis approached to be able to pull and analyze large datasets.
Familiarity with programming (Java, Python, etc.)
Familiarity with simulation and modeling software.
Knowledge of the constraints and methods for defining and demonstrating equipment, subsystem, and system performance criteria.
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Technical knowledge of fulfillment tools and systems (OMS, WMS, Picking apps, inventory systems, etc.).
Knowledge of data querying, mining and dashboarding (SQL knowledge preferred).
Knowledge of food safety and workplace safety best practices.
Breaks down objectives into appropriate initiatives and actions
Learns quickly when facing new situations
Provides timely and helpful information to others across the organization
Understands the meaning and implications of key financial indicators
Demonstrates thorough understanding of retail and e-commerce fulfillment processes
Delivers messages in a clear, compelling, and concise manner
Ability to transform complex data into actionable insights to inform strategic decision-making
Ability to present recommendations based on data-driven conclusions
Demonstrates an openness to new and differing ideas, systems, processes and technology
Systems oriented; understanding of IT systems and applications
Evaluates and recommends changes in methods or procedures
3+ years of experience in a directly related field and successful demonstration of key abilities and knowledge as presented above
Track record of successful delivery of cross-functional projects.
Has either participated in projects implementing/delivering automated fulfillment solutions, or has close knowledge of operating said solutions, including insight into optimizing them through various tactical approaches.
About Ahold Delhaize USA
Grocery Retail413000 employeesFounded 2016
Provider of operational support for omnichannel grocery retail brands.