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Common PM title, metro location, and mid-level seniority increase competition, despite AI/fintech specialization.
High due to required financial reconciliation, regulated-industry experience, and AI governance specialization.
Requires domain-specific fintech reconciliation, AI governance, and cloud experience, elevating mandatory filters.
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Own and define the AI-first product roadmap focusing on intelligent, model-driven features such as data onboarding, transformation, and exception handling.
Lead client discovery through interviews, workshops, prototyping, and feedback to identify data and reconciliation pain points and validate roadmap decisions.
Instrument product usage with analytics tools, define success metrics and KPIs, and manage delivery with clear user stories and prioritised backlog for cloud-based SaaS AI features.
Experience with data reconciliation, data quality, or exception management in an enterprise setting.
Knowledge of cloud platforms (AWS, Azure, or GCP) and modern data infrastructure (streaming, ETL/ELT, data warehouses).
Experience in financial services, capital markets, or other regulated, data-intensive industries.
Familiarity with AI governance, responsible AI, or model explainability frameworks.
Experienced in translating AI/ML concepts into validated, adoptable product features within cloud-hosted SaaS environments.
Skilled in structured client engagement and discovery to triangulate product needs from multiple data sources and clients.
Experienced with managing product analytics and experimental validation to guide AI feature delivery and adoption.