rePurpose Global is a VC-backed tech startup dedicated to driving sustainable innovation in the packaging industry. Our new B2B software platform helps consumer brands navigate complex packaging regulations, make smarter packaging sustainability decisions, leverage packaging data for business growth, and ensure compliance with evolving global standards. We're building powerful new features to empower customers with actionable insights and streamlined processes.

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

About the Role

We're looking for a Data Operations Manager who builds systems, not just spreadsheets. This role exists because our customers send us messy, real-world packaging data — inconsistent formats, missing fields, duplicate records, mixed units — and we need someone who can turn that chaos into clean, structured, product-ready data reliably and at scale.

This is a hands-on individual contributor role with real ownership. You'll design the transformation pipelines, standardization frameworks, and validation logic that power our customer onboarding. You'll also be our internal authority on data quality — advising product, operations, and onboarding teams on how we intake, process, and govern data across the company.

If you've spent your career executing other people's processes, this role isn't for you. If you've built the processes yourself — and can show your work — we want to talk.

Responsibilities:

Build Scalable Data Transformation Pipelines

Design and maintain repeatable frameworks for cleaning, standardizing, and transforming messy ERP exports into structured product inputs
Write Python scripts (pandas, regex, string parsing) and Excel automation (Power Query, advanced formulas) to handle high-volume data at scale
Build mapping logic to harmonize inconsistent formats — unit mismatches, material acronyms, naming variations, packaging hierarchies
Implement error-checking and validation systems that flag bad data before it hits the product

Own Data Quality & Governance

Define what "ingestion-ready" means and enforce it — create the standards, document them, and make sure the team can apply them without you in the room
Build validation checkpoints that distinguish blocking errors from flagged-for-review issues
Ensure full auditability of transformation logic, critical for compliance reporting

Lead Client Data Onboarding

Develop scalable, version-controlled processes to onboard new customers efficiently as we grow to onboard several new customers each week
Identify and resolve data ambiguities in customer exports — missing materials, unknown components, inconsistent hierarchies — and know when to flag vs. make a reasonable assumption

Serve as the Internal Data Center of Excellence

Advise product, onboarding, and operations teams on data intake strategy and requirements
Identify opportunities to automate repetitive data tasks across the company
Train team members on data best practices and build documentation they'll actually use
Shape our long-term data infrastructure as the company scales

What We're Looking For?

3+ years in data operations, data engineering, or a hands-on analytics role where you owned transformation pipelines end-to-end — not just ran reports
Strong Python skills for data cleaning and automation (pandas, regex, string parsing); you reach for Python first when the problem is complex, not Excel
Solid Excel skills, including Power Query and complex formulas — you know when Excel is the right tool and when it isn't
Demonstrated ability to design systems, not just execute them: you've built repeatable frameworks, written transformation logic others can maintain, and documented your work so someone else could run it
Experience handling messy, real-world data — inconsistent formats, missing fields, duplicate records, unit mismatches — and a clear method for resolving ambiguity
Strong cross-functional communication: you can advise a non-technical onboarding team on data requirements as clearly as you can write a Python script

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.

120000 - 150000 USD a year

Compensation and 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.

See more open positions at rePurpose Global

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