Master Data Manager

What we need to see

Establish clear data ownership, stewardship, and lifecycle management practices

Develop and monitor data quality benchmarks (accuracy, completeness, timeliness)

Identify root causes of data defects and implement balanced fixes—not just one-off corrections

Collaborate closely with Supply Chain, Logistics, Finance, IT, and Analytics groups to ensure data structures match business requirements

Act as the bridge between business collaborators and technical teams

Support the build of centralized, reusable data models and pipelines

Ensure master data is structured to support reporting, automation, and advanced analytics

Partner with analytics teams to ensure consistent benchmark definitions and

Bachelor’s degree in Information Systems, Supply Chain, Business, or related field

5+ years of experience in master data management, data governance, or data quality—preferably in logistics or supply chain environments

Proven ability to manage data across multiple systems and drive cross-functional alignment

Experience defining data models, governance frameworks, and quality metrics

Ability to thrive in a fast-paced, high-growth environment

Excellent communication skills with the ability to influence collaborators at

• Experience with global logistics operations and transportation data (carriers,
• Hands-on experience with data pipelines, SQL, or cloud platforms (e.g., Google Cloud, Snowflake)
• Familiarity with EDI data (e.g., 214/210) and logistics visibility systems
• Experience with Tableau, Power BI, or similar analytics tools
• Background in building centralized data models or shared data platforms