Data Operations Manager

We are looking for a Data Operations Manager who thrives in data complexity — an expert in large-scale data manipulation and automation — who can design repeatable systems to clean, standardize, and transform data into structured formats.

Requirements

• Build Scalable Data Transformation Tooling
• Design repeatable frameworks for cleaning and standardizing large datasets
• Build Excel-based automation
• Create structured mapping templates to harmonize different ERP export formats
• Standardize units, material codes, packaging hierarchies, and naming conventions
• Design error-checking and validation systems to flag inconsistencies
• Reduce manual cleanup work through automation and reusable logic
• Own High-Volume Data Processing
• Work with datasets containing thousands to millions of rows
• Optimize transformation workflows for performance and reliability
• Create version-controlled transformation logic and reusable templates
• Develop scalable processes to onboard new clients efficiently
• Improve Data Quality & Governance
• Define internal standards for “clean” and “ingestion-ready” data
• Build data validation checkpoints before ingestion into the AI tool
• Create documentation and transformation playbooks
• Ensure auditability (critical for compliance reporting)
• Serve as Data Capability Lead (Internal CoE)
• Advise product, operations, and onboarding teams on data intake strategy
• Identify opportunities to automate repetitive data tasks across the company
• Train team members on data best practices
• Help shape long-term data process improvements

Benefits

• Competitive Compensation
• Performance-Based Incentives
• Employee Benefits & Wellness Funds