Senior Data Product Manager Data & Analytics

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 worlds underserved businesses to a rising global economy. Were a community with over 2500 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 workflowsincluding everything from global payments and compliance to multi-currency and workforce management to providing working capital and business intelligencewe give businesses the tools they need to work efficiently worldwide and grow with confidence.

About the Role:

We are looking for a hands-on Senior Data Product Manager to join Payoneers Data Product Unit - the central hub for data product management across the this role you will be part of a dedicated squad responsible for data products serving the Finance organization working closely with Finance stakeholders to design and deliver data products that support operational financial capabilities book closing processes regulatory reporting and analytical needs.

You will lead the data product lifecycle end-to-end - from understanding business and regulatory challenges defining analytical and operational needs through designing scalable data models and assets to delivering high-quality data products that empower the Finance organization.

As part of a globally distributed Finance Data Squad you will collaborate closely with team members across multiple locations worldwide as well as with the BI developers based alongside you in India. This role is ideal for a product-minded business-oriented data person who is both strategic and hands-on and who thrives on connecting complex financial business goals with technical execution.

What YouII Do:

• Own and drive your data product items within the Finance squad roadmap aligned with strategic business goals regulatory requirements and SLA commitments - actively contributing to the squads shared priorities and delivery goals.
• Work closely with Finance stakeholders to understand data needs define and prioritize use cases and develop solutions that improve data accessibility and usability.
• Translate business and regulatory 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 operational and regulatory reporting use cases.
• Partner closely with BI developers in India to ensure seamless integration of data products with reporting and visualization layers.
• Collaborate with Data Engineering and BI globally to implement and deliver high-quality solutions end to end.
• Ensure alignment and consistency between Finance domain-level data products and the companys core data assets.
• Drive data quality standards and maintain SLA commitments critical to financial reporting and regulatory stability.
• Maintain clear and proactive communication with stakeholders across global teams ensuring transparency clarity and measurable outcomes.
• Monitor usage adoption and business impact of delivered data products iterating based on feedback.
• Contribute to the broader data modernization and innovation initiatives led by the Data Product Unit.

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 such as BigQuery required. (ETL Experience)
• Solid business acumen with a good understanding of financial data domains including financial reporting revenue recognition balances and regulatory data.
• Excellent communication and stakeholder management skills - fluent English capable of bridging business and technical conversations clearly and effectively across a globally distributed team.
• Proficiency in SQL and practical data analysis - comfortable diving into data and validating results.
• Experience working within cross-functional delivery squads with Data Engineering and BI.
• Strong quality orientation with experience defining and enforcing data quality standards SLA tracking and issue management.

Must have:

• ETL Experience- data modeling data warehouse architecture and data pipeline design - experience with cloud platforms such as BigQuery required
  Proficiency in SQL and practical data analysis - comfortable diving into data and validating results.
• Work with Data & Engineering team (stakeholders) non-technical team (officers of regulations; finance team

Nice to have:

• Experience working in fintech payments or financial services environments.
• Familiarity with regulatory reporting requirements and compliance-driven data products.
• Experience with visualization tools such as Looker Power BI or Tableau.
• Background in building data products at scale within multi-domain or globally distributed organizations.
• Experience working with geographically distributed teams across multiple time zones.

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