Chick-fil-A
Overview
We are seeking a highly motivated and detail-oriented Process Engineer to join our Data Architecture and Master Data Management (MDM) team. In this role, you will be responsible for analyzing, documenting, and optimizing the flow of data within our organization, ensuring it accurately reflects and supports our physical processes and systems. You will play a key role in designing and implementing improvements to our data lifecycle management and integration between operational processes and analytics. Additionally, you’ll leverage Industrial Engineering, Process Engineering, and Systems Engineering methodologies to design and optimize business process, and how it integrates with data.
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
Process Engineering:Encourage requirements gathering, strong process understanding, documentation, and policy design and enforcement to align the digital data environment and process to the physical network it informs and supports
Experience mapping current state processes, identifying inefficiencies, and designing improved future state processes
Proficiency in business process modeling and notation (e.g., BPMN)
Strong analytical and problem-solving skills to identify root causes of process issues
Ability to facilitate workshops and gather requirements from stakeholders
Experience in process improvement methodologies (e.g., Lean, Six Sigma)
Ability to translate business requirements into technical specifications
Experience with data analysis to drive process improvement recommendations
Understanding of data governance and data quality principles
Systems Engineering:
Experience in designing, implementing, and maintaining data and analytics systems
Strong understanding of data warehousing, data lakes, and ETL processes
Proficiency in cloud-based data platforms (e.g., AWS, Azure, GCP)
Experience with data modeling and database design
Knowledge of data integration techniques and tools
Ability to troubleshoot system issues and identify solutions
Understanding of system security and data privacy principles
Experience with DevOps practices and automation
Process Observation and Documentation:
Observe and analyze how our digital data ecosystem mirrors physical processes and systems
Document data flows, information flows, and integration flows using engineering best-practice documentation techniques (e.g., process flow diagrams, data flow diagrams)
Current State Assessment:
Thoroughly assess and document the current state of data flows and physical processes related to data creation, ingestion, systematization, consumption, and deprecation
Identify pain points, inefficiencies, and areas for improvement within existing data processes
Target State Design:
Design an optimal target state for data flows and physical processes, aligned with business objectives and industry best practices
Develop comprehensive data lifecycle management strategies for the MDM system and analytical data model
Gap Analysis:
Perform detailed gap analysis between current state and target state designs, identifying the steps and resources needed to achieve the desired future state
Develop and present recommendations for bridging identified gaps
Data Lifecycle Management:
Focus on how data is created, ingested, systematized, consumed, and deprecated within the MDM system and the analytical data model
Develop and implement strategies to improve data quality, governance, and compliance throughout the data lifecycle
Operational Process and Analytics Unification:
Assess opportunities to unify disjointed analytics with their corresponding operational processes
Design and implement solutions that enable seamless integration between operational systems and analytical platforms
Collaboration and Communication:
Collaborate closely with data architects, data engineers, business analysts, and other stakeholders to ensure alignment and effective implementation of data solutions
Communicate findings, recommendations, and project status updates to both technical and non-technical audiences
Minimum Qualifications
Bachelor’s Degree in Engineering (industrial or systems preferred), Computer Science, Information Systems, or a related field
4+ years of related experience
Strong understanding of data architecture principles, master data management concepts, and data governance practices
Experience with data modeling, data integration, and data warehousing techniques
Proficiency in process mapping and documentation tools
Excellent analytical, problem-solving, and communication skills
Ability to work independently and collaboratively in a fast-paced environment
Preferred Qualifications
5+ years of related experience
Minimum Years of Experience
4
Travel Requirements
10%
Required Level of Education
Bachelor's Degree
Major/Concentration
Engineering (industrial or systems preferred), Computer Science, Information Systems, or a related field
Job FunctionSupply Chain
Position TypeExperienced Professionals
Requisition ID2025-18492
Posting Location : LocationUS-GA-Atlanta
We are seeking a highly motivated and detail-oriented Process Engineer to join our Data Architecture and Master Data Management (MDM) team. In this role, you will be responsible for analyzing, documenting, and optimizing the flow of data within our organization, ensuring it accurately reflects and supports our physical processes and systems. You will play a key role in designing and implementing improvements to our data lifecycle management and integration between operational processes and analytics. Additionally, you’ll leverage Industrial Engineering, Process Engineering, and Systems Engineering methodologies to design and optimize business process, and how it integrates with data.
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
Process Engineering:Encourage requirements gathering, strong process understanding, documentation, and policy design and enforcement to align the digital data environment and process to the physical network it informs and supports
Experience mapping current state processes, identifying inefficiencies, and designing improved future state processes
Proficiency in business process modeling and notation (e.g., BPMN)
Strong analytical and problem-solving skills to identify root causes of process issues
Ability to facilitate workshops and gather requirements from stakeholders
Experience in process improvement methodologies (e.g., Lean, Six Sigma)
Ability to translate business requirements into technical specifications
Experience with data analysis to drive process improvement recommendations
Understanding of data governance and data quality principles
Systems Engineering:
Experience in designing, implementing, and maintaining data and analytics systems
Strong understanding of data warehousing, data lakes, and ETL processes
Proficiency in cloud-based data platforms (e.g., AWS, Azure, GCP)
Experience with data modeling and database design
Knowledge of data integration techniques and tools
Ability to troubleshoot system issues and identify solutions
Understanding of system security and data privacy principles
Experience with DevOps practices and automation
Process Observation and Documentation:
Observe and analyze how our digital data ecosystem mirrors physical processes and systems
Document data flows, information flows, and integration flows using engineering best-practice documentation techniques (e.g., process flow diagrams, data flow diagrams)
Current State Assessment:
Thoroughly assess and document the current state of data flows and physical processes related to data creation, ingestion, systematization, consumption, and deprecation
Identify pain points, inefficiencies, and areas for improvement within existing data processes
Target State Design:
Design an optimal target state for data flows and physical processes, aligned with business objectives and industry best practices
Develop comprehensive data lifecycle management strategies for the MDM system and analytical data model
Gap Analysis:
Perform detailed gap analysis between current state and target state designs, identifying the steps and resources needed to achieve the desired future state
Develop and present recommendations for bridging identified gaps
Data Lifecycle Management:
Focus on how data is created, ingested, systematized, consumed, and deprecated within the MDM system and the analytical data model
Develop and implement strategies to improve data quality, governance, and compliance throughout the data lifecycle
Operational Process and Analytics Unification:
Assess opportunities to unify disjointed analytics with their corresponding operational processes
Design and implement solutions that enable seamless integration between operational systems and analytical platforms
Collaboration and Communication:
Collaborate closely with data architects, data engineers, business analysts, and other stakeholders to ensure alignment and effective implementation of data solutions
Communicate findings, recommendations, and project status updates to both technical and non-technical audiences
Minimum Qualifications
Bachelor’s Degree in Engineering (industrial or systems preferred), Computer Science, Information Systems, or a related field
4+ years of related experience
Strong understanding of data architecture principles, master data management concepts, and data governance practices
Experience with data modeling, data integration, and data warehousing techniques
Proficiency in process mapping and documentation tools
Excellent analytical, problem-solving, and communication skills
Ability to work independently and collaboratively in a fast-paced environment
Preferred Qualifications
5+ years of related experience
Minimum Years of Experience
4
Travel Requirements
10%
Required Level of Education
Bachelor's Degree
Major/Concentration
Engineering (industrial or systems preferred), Computer Science, Information Systems, or a related field
Job FunctionSupply Chain
Position TypeExperienced Professionals
Requisition ID2025-18492
Posting Location : LocationUS-GA-Atlanta