Data Operations Manager

rePurpose Global • New York, NY

1d • $120,000 - $150,000 • Hybrid

About The Position

Founded in 2017, rePurpose is the leading Packaging Sustainability & Compliance platform for consumer companies. As pioneers of verified plastic recovery, the company enables brands to measure their plastic footprint and recover plastic waste from nature through a global partner network while streamlining compliance across 45+ packaging regulations.

rePurpose has recovered over 88 million pounds of plastic waste, supported 2,300+ waste workers, and maintains 12 active impact projects worldwide. The company's platform helps brands achieve compliance outcomes through advanced data management and regulatory expertise.

rePurpose is headquartered in New York. Learn more at repurpose.global.

This position can be remote within the US, with preference given to candidates located in New York.

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.

This role is hands-on and practical. You will build the internal tooling and frameworks that allow us to process our customer data faster, more accurately, and at scale. You will also serve as our internal Center of Excellence (CoE) for data capability.

Responsibilities

• Build Scalable Data Transformation Tooling
• Design repeatable frameworks for cleaning and standardizing large datasets (typically originating in Excel)
• Build Excel-based automation (advanced formulas, Power Query, VBA, scripts, etc.)
• 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
• Bridge the gap between raw client data and product-ready structured inputs

Benefits

• Competitive Compensation: Enjoy a highly competitive salary package based on your skills and experience. The compensation range for this role is $120,000-$150,000. If this is out of your preferred range, we’d still encourage you to apply, as we value the right fit over anything else!
• Performance-Based Incentives: Earn additional rewards as you achieve key milestones and contribute to our success.
• Employee Benefits & Wellness Funds: Access medical coverage, a wellness fund, learning opportunities, and WeWork partnerships.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed