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Specialized AI-product focus and enterprise fintech context moderate candidate competition.
Strong fintech reconciliation and regulated-industry requirements reduce cross-industry transferability.
Requires specific fintech reconciliation, cloud, and AI governance experience, raising filter strictness.
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Own the AI-first product roadmap focusing on intelligent, model-driven features including data onboarding, transformation, anomaly detection, and co-pilot UX for natural language interaction.
Lead client discovery through interviews, workshops, prototyping, and structured feedback to validate user needs and differentiate genuine product demands.
Instrument product with analytics to monitor AI feature adoption and user behavior, conducting experiments to validate product assumptions and manage a prioritized backlog aligned with KPIs like match rates and onboarding efficiency.
Experience in financial services, capital markets, or other data-intensive regulated industries.
Good understanding of data reconciliation, data quality, or exception management in enterprise contexts.
Knowledge of cloud platforms (AWS, Azure, or GCP) and modern data infrastructure including streaming, ETL/ELT, and data warehouses.
Familiarity with AI governance, responsible AI frameworks, or model explainability standards.
Product manager with strong experience translating AI/ML concepts into shippable SaaS features with human-in-the-loop controls.
Experienced working directly with enterprise clients through discovery and validation phases to align product strategy with user workflows and pain points.
Skilled at using quantitative and qualitative data to drive product decisions and able to collaborate cross-functionally with data science and engineering teams on scalable AI delivery architectures.