Senior Data Product Manager
3 hours ago
Role summary:
We are looking for a hands-on Senior Data Product Manager to join Payoneer's Data Product Unit – the central hub for data product management across the company.
In this role, you will own the data product strategy and execution for the Growth organization, partnering closely with the Growth Analytics team to design and deliver data products that enhance data accessibility, accelerate decision-making, and drive measurable business impact.
You will lead the data product lifecycle end-to-end – from understanding business challenges, defining analytical and operational needs, through designing scalable data models and assets, to delivering high-quality data products that empower the Growth organization.
This role is ideal for a product-minded, business-oriented data leader who is both strategic and hands-on, and who thrives on connecting complex business goals with technical execution.
Hybrid
Full-time
What you'll do:
- Own and drive the data product roadmap for the Growth organization, aligned with strategic business goals.
- Work closely with the Growth Analytics team to understand data needs, define and prioritize use cases, and develop solutions that improve data accessibility and usability.
- Translate business objectives into clear data requirements, KPIs, and technical specifications (PRD and STT).
- Design, develop, and maintain scalable, reliable, and high-performance data products and models that serve analytical and operational use cases.
- Collaborate with Data Engineering and BI to implement and deliver high-quality solutions end to end.
- Ensure alignment and consistency between domain-level data products and the company's core data assets.
- Lead stakeholder communication, ensuring transparency, clarity, and measurable outcomes.
- Monitor usage, adoption, and business impact of delivered data products, iterating based on feedback.
Who you are?
- 5+ years of experience in data product management, data analytics, or data-driven product roles, with proven hands-on experience.
- Strong understanding of data modeling, data warehouse architecture, and data pipeline design – experience with cloud platforms (e.g., BigQuery) required.
- Solid business acumen and the ability to translate business goals into technical and analytical data solutions.
- Excellent communication and stakeholder management skills – fluent English, capable of bridging business and technical conversations clearly and effectively.
- Proficiency in SQL and practical data analysis – comfortable diving into data and validating results.
- Experience leading cross-functional delivery squads with Data Engineering and BI.
#LI-Hybrid
#LI-CA1
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