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Common mid-level PM title and metro location increase competition, offset by fintech/payments specialization.
Strong fintech payments and PCI-DSS data governance focus limits cross-industry transferability.
Explicit 3+ years PM, 2+ years payments/data, SQL and PCI-DSS requirements create strict screening.
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Own and prioritize the Data & Analytics product roadmap for Embedded Payments, including merchant-facing reporting, risk intelligence, and internal analytics tools.
Manage payment data quality, governance, and semantic layer to ensure accuracy and compliance across transaction data and AI models.
Collaborate cross-functionally to build AI-powered analytics features and data products for fraud detection, compliance, and merchant insights, presenting outcomes to senior leadership.
Minimum 3+ years product management experience with at least 2 years owning data, analytics, or intelligence products in fintech, payments, or financial services.
Strong knowledge of payment data lifecycle including transaction flows, settlement, reconciliation, and chargeback processes.
Proficient in SQL and experienced with modern data tools such as Snowflake, PowerBI, Tableau, or Metabase.
Understanding of data governance, privacy regulations (GDPR, PDPA or equivalent) and working in regulated fintech environments.
Experienced in building embedded analytics or data-as-a-product delivered via APIs, SDKs, or embeddable components for partners.
Skilled in managing AI/ML product development including defining model requirements, evaluation frameworks, and human-in-the-loop workflows.
Familiar with PCI-DSS data environments and compliance constraints relevant to payment data security.