Payoneer’s mission is to enable businesses of all sizes from anywhere in the world to access the rising, global economy by enabling them to transact globally as easily as they do locally. Life at Payoneer is a global community, where you’ll work with colleagues all over the world, serving small- and medium-sized business customers and partners in over 190 markets. 

We’re looking for a highly skilled and strategic Principal Technical Data Product to lead the vision, strategy, and execution of our data products. In this role, you will work cross-functionally with data engineering, analytics, business stakeholders, and external partners to deliver data-driven products that provide significant business value and empower decision-making across the domain.As a Principal Technical Data Product, you will serve as the bridge between the data platforms (Data Lake, DWH) and their stakeholders - such as Risk & Compliance, Business, Product - by providing data models and solutions to support the decision-making process and Reporting.

If you enjoy working in a high-paced environment, leading data solutions, intrigued by data challenges, with intention to make an impact on the company’s growth, then this is the right place for you.

What you’ll be spending your time on:  

• Leading end-to-end data projects to create analytical & data tools and solutions that empower the company.
• Prioritize initiatives based on business value, technical feasibility, and stakeholder needs.
• Act as the main liaison between engineering, analytics, business units, and leadership teams.
• Designs and leads scalable, long-term technical solutions.
• Translate business & technical needs collaborate regularly with various stakeholders and translate business needs to technical data solutions and KPI definition by writing STT to be developed by data engineers.

Have you done this kind of stuff?  

• 8+ years of experience in managing end to end data projects, including modeling, STT definitions, data streams and solution design
• Excellent verbal and written communication- High English language proficiency
• Experience in Data Warehouse solution design and modeling
• Knowledge in ETL, data streams & pipelines
• Led significant projects that involved various stakeholders
• High level SQL and analytics capabilities
• Working with Cloud Platform, especially with Big Query, DL, etc.

Not a must but a great advantage:

• Knowledge in front end self-service tools (like: Power BI, Looker, etc.)
• Background of KPI definition, building dashboards & converting data into visual insights