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MoeGo

Data Migration, Program Manager

Reposted 11 Days Ago
Remote
4 Locations
Mid level
Remote
4 Locations
Mid level
Lead the transition of customer data from legacy systems, improve data migration processes, and collaborate with cross-functional teams for effective execution.
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About MoeGo 🐾

MoeGo is on a mission to transform the future of pet care business, from small-business groomers to franchise doggie hotels. The dedicated entrepreneurs behind these businesses keep our beloved pets happy and healthy—the majority of them are first-time business owners, and more than 80% are women. They deserve comprehensive technology solutions that keep their businesses operating smoothly end-to-end, so they can focus on healthy pets and happy pet parents. 

Join us to help these “pet-repreneurs” build and grow thriving businesses—every conversation with a customer and every feature goes toward this larger purpose. From automated booking to payments and communication tools, MoeGo eliminates the administrative stress of running a pet care business. If you’re looking for a career that combines innovation with heart, MoeGo is the place where technology meets tail wags. Join us in shaping the future of pet care, one happy groomer, one joyful pet, and one loving owner at a time.

About the Role 

MoeGo is seeking a Data Migration Program Manager to lead end-to-end data migration projects, ensuring accuracy, completeness, and timely delivery of customer data into MoeGo.

The goal: seamless full data migrations, enabling the Onboarding Success (OBS) team to deliver an exceptional customer onboarding experience.

This is a hybrid role with working hours more aligned with the overseas team timezone, afternoon/evening hours (PST), ideal for managing a distributed team and collaborating with US-based stakeholders.

Please note that working hours are open for discussion based on business and personal needs.

Key Responsibilities:

💼 Migration Project Leadership

  • Own and manage the full lifecycle of data migration projects:

  • Act as the primary point of contact between Data Migration (DM) and Onboarding (OBS) teams.

📊 Data Accuracy & Quality Assurance

  • Ensure all pilot data is accurately placed in the MoeGo system with:

  • Run QA processes and audits to verify data integrity before full imports.

🔍 Optimization & Best Practices

  • Identify and implement improvements to streamline pilot import accuracy and reduce rework.

  • Create internal documentation and workflows that improve repeatability and reduce dependency on individuals.

  • Build a knowledge base of common vendor data structures and migration approaches.

Minimum Qualifications:

  • Fluent in Mandarin and English (written & spoken)

  • 3+ years of experience in Data Migration, Data Ops, or Implementation roles at SaaS companies

  • Strong in data structure comprehension (think: Excel wizardry, SQL, CSV transformations, understanding how fields map across systems)

  • Comfortable working directly with customers to clarify data details and timelines — without needing to handle sales or relationship management.

  • Process-minded: can create repeatable frameworks from messy workflows

  • Detail-obsessed: has pride in delivering clean, validated data

Preferred Qualifications:

  • Proactive communicator

  • Thrives under tight deadlines

  • Empathetic toward non-technical customers and good at translating data concepts

  • Enjoys problem-solving and getting into the weeds

MoeGo offers a competitive compensation package (base salary, performance bonus, and benefits). This includes flexible benefit plans to employees and their family members at no cost to the employees and 401(k) matching.

 

MoeGo is committed to creating a diverse and inclusive work environment, and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Top Skills

Airtable
Excel
SQL

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