Project Lead, Supply Chain

xpertise, business acumen, project tracking and strong communication skills. The ideal candidate will have experience designing technical file specifications, managing data integration projects, and fostering positive relationships with both internal and external stakeholders. A strong understanding of how data is used for business insights is critical. A key aspect of this role involves understanding Supply Chain Systems and the development efforts required by partners to implement necessary processes and policies.

Our Flexible Future model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.

Responsibilities

Technical Requirements Gathering: Elicit and document detailed technical requirements from internal teams and external partners for new data integrations

File Specification Design: Design and maintain technical file specifications in various formats including EDI, XML, and JSON. Ensure specifications meet business requirements and are optimized for data quality and usability

Data Modeling: Work with the Design team as they implement data models that support efficient data integration and analysis. Data models using partner data need to be scalable, maintainable, and aligned with business needs

Data Mapping and Documentation: Create comprehensive data maps and documentation outlining data requirements, transformations, and validation rules

Integration Implementation: Oversee the implementation of data integrations using AS2, sFTP, and other secure data transfer methods

Partner Management: Serve as the primary point of contact for technical communication with external partners throughout the integration process

Project Management: The ability to manage and coordinate multiple tasks and projects simultaneously, ensuring timely delivery and adherence to project milestones

Supply Chain System Integration: Understand the intricacies of integrating data with various Supply Chain Systems (ERP, WMS, TMS) to ensure seamless data flow and process alignment

Development Oversight: Provide guidance and support to partners regarding the development work required on their systems to implement the necessary integration processes and policies

Testing and Validation: Develop and execute test plans to validate data accuracy, completeness, and consistency

Problem Resolution: Troubleshoot and resolve technical issues related to data integration, ensuring minimal disruption to business operations

Business Insights: Understand how integrated data is utilized for business intelligence and reporting. Ensure data structures and specifications are designed to support effective analytics and insights generation

Collaboration: Collaborate with internal teams including data analysts, developers, and business stakeholders to ensure seamless data integration and alignment with business goals

Continuous Improvement: Identify opportunities to improve data integration processes, enhance data quality, and streamline partner onboarding

Minimum Qualifications

Required Skills and Experience:

• Bachelor's degree or experience in Computer Science, Information Systems, or related field

• 3+ years of experience in data integration, EDI, or related technical roles

• Proficiency in designing technical file specifications in EDI, XML, and JSON formats

• Experience with data integration protocols such as AS2 and sFTP

• Strong understanding of data modeling principles and techniques (e.g., relational, dimensional)

• Experience with data mapping, data transformation, and data validation techniques

• Experience with data governance principles and practices

• Excellent communication, interpersonal, and presentation skills

• Ability to effectively manage multiple projects and priorities

• Strong analytical and problem-solving skills

• Experience or willingness to learn Python and Python Libraries (e.g. Pytest or Unittest, Pandas or Polars, NumPy, etc...)

Data Modeling Acumen:

• Proficiency in creating and maintaining conceptual, logical, and physical data models

• Experience with data modeling tools and techniques (e.g., ER diagrams, UML)

• Understanding of data normalization and denormalization techniques

• Ability to design data models that support efficient querying and reporting

• Knowledge of data warehousing and data lake concepts

Supply Chain Systems Understanding:

• Solid understanding of Supply Chain Systems, including ERP (Enterprise Resource Planning), WMS (Warehouse Management System), and TMS (Transportation Management System)

• Familiarity with the data flows and business processes within the above systems

• Ability to assess the development efforts required by partners to integrate with our systems effectively

• Experience with supply chain data standards and best practices

Business Understanding:

• Demonstrated ability to understand business processes and translate them into technical requirements

• Knowledge of how data is used for business insights, reporting, and decision-making

• Ability to collaborate with business stakeholders to identify data needs and opportunities

Personal Attributes:

• Detail-oriented and organized

• Proactive and results-oriented

• Team player with a positive attitude

• Customer-focused with a commitment to providing excellent service

Preferred Qualifications

• Understanding of data warehousing concepts and business intelligence tools

• Experience with cloud-based integration platforms

Minimum Years of Experience

3

Travel Requirements

20%

Required Level of Education

Bachelor's degree or equivalent experience

Major/Concentration

Computer Science, Information Systems, or related field