Technical Data Product

About Payoneer

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.

By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.

Role Summary

We are looking for a hands-on Technical Data Product Manager with a passion for data and a strong technical foundation to join our Data Product group. In this role, you will be responsible for shaping and delivering both core data infrastructure models (Data Lake, Data Warehouse) and business-facing data products that power reporting, decision-making, and regulatory compliance.

As a Technical Data Product Manager, you will work closely with developers, data engineers, and cross-functional stakeholders (Risk & Compliance, Finance, Product, and Business teams) to design, implement, and optimize reliable, scalable data solutions. This role requires someone who enjoys rolling up their sleeves, writing queries, diving deep into data pipelines, and turning technical assets into trusted business value.

Hybrid

Full-time

What you’ll do: 

• Drive end-to-end data projects, deliver analytical tools and scalable solutions that empower decision-making.
• Gather, research, and analyze data to generate actionable insights and address user needs.
• Collaborate closely with cross-functional stakeholders to translate business requirements into technical data solutions.
• Contribute to the design of scalable, reliable data architectures aligned with business goals.
• Maintain and continuously optimize technical solutions and BI products to ensure high performance.
• Prepare PRDs and Epics, defining the functional aspects of data pipelines, including transformation logic, validation, and data quality mechanisms.
  
  

• 3-5 years of experience managing data projects, including data modeling and solution design.
• Strong communication and collaboration skills, with high proficiency in English.
• Hands-on experience in Data Warehouse design and modeling, with a proven track record in redesigning and optimizing DWH models.
• Solid understanding of ETL processes and data streaming concepts.
• Proficiency in SQL and strong analytical skills.
• Product-oriented mindset with deep business understanding and the ability to influence strategy.
• Experience with cloud data warehouses; Google BigQuery is a strong plus.
• Knowledge of front-end self-service BI tools (e.g., Power BI, Looker).
• Experience in KPI definition, dashboard creation, and advanced data visualization techniques.
• Background in the FinTech industry and familiarity with its unique data challenges.