The Data Operations Manager will design systems for data transformation, ensure data quality, and lead internal data capabilities, optimizing workflows for high-volume data processing.
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
- 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
- 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)
- 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
Own High-Volume Data Processing
Improve Data Quality & Governance
Serve as Data Capability Lead (Internal CoE)
We offer a flexible salary range for this job posting that will be customized based on the qualifications of the chosen candidate. Our compensation strategy takes into account various factors, including education, experience, knowledge, skills, abilities, internal equity, and market alignment. If this is out of your preferred range, we’d still encourage you to apply as we value the right fit over anything else!
Location Preference:
The role is onsite working; we are looking for team members to be located at our head office in New York City, with weekly in-office days at our office at 1460 Broadway.
We have a truly global team - with members across Miami, New York, Philadelphia, Los Angeles, London, Nairobi, Bangalore, Delhi, Mumbai, and Jakarta.
Top Skills
Excel
Power Query
VBA
rePurpose Global New York, New York, USA Office
2196 Third Ave, New York, New York, United States, 10035
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