SAP & master data
Supporting SAP-related projects, improving data quality, and helping shape processes that work in the real world.
Greenville, North Carolina
I’m Scott Johnson, a Senior Manager in Data Analytics leading an SAP master data team. With a background in software engineering, industrial engineering, and business, I focus on designing practical systems and modernizing internal tools where data, process, and software come together.
About
I’m a Senior Manager of Data Analytics focused on SAP master data and building systems that align data, process, and business needs. My background spans industrial engineering, finance, and software engineering, and I’ve spent much of my career working in SAP while bridging the gap between business teams and IT.
Earlier, I worked as a software engineer using Go, Python, Ruby, and Kotlin, along with AWS services like S3 and Glue. Today, I’m interested in designing practical systems, improving processes, and building tools that make complex work easier to understand.
Work
Supporting SAP-related projects, improving data quality, and helping shape processes that work in the real world.
Translating operational needs into practical system designs, with an emphasis on usability, maintainability, and clarity.
Exploring lightweight internal applications, reporting tools, and modern web approaches for replacing aging business software.
Featured work
Building data governance frameworks and master data architectures that balance operational flexibility with analytical rigor. Focused on systems that scale and remain maintainable as organizations evolve.
Exploring lightweight, modern approaches to business application development. Building tools that bridge the gap between technical elegance and operational simplicity. Focusing on clarity and long-term maintainability.
Selected interests
I’m interested in how organizations can move from older, hard-to-maintain internal systems toward simpler, more sustainable web applications.
The best tools are often the ones that remain understandable over time. Clear data models, thoughtful workflows, and interfaces that don’t fight the user.
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