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Tier-1 brand, popular product role, and metro location create high competition.
Finance domain knowledge, regulatory experience, and AI/data specialization demand high background fit sensitivity.
Mandatory 8+ years, finance domain mandate, and AI/data skill requirements make shortlisting highly strict.
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Own the product vision, strategy, and roadmap for AI, automation, and data integration solutions within Finance Technology at Citi.
Lead business process redesign and digital transformation initiatives aligned with regulatory and operational optimization goals.
Drive cross-functional collaboration and communication to influence product development and ensure alignment with stakeholder needs.
8+ years experience in Product Management or Product Development with a Finance background.
Strong understanding of finance processes including record to report, accounting, reconciliation, regulatory reporting, and close processes.
Experience with data pipelines, virtualization, analytics, automation, process re-engineering, and AI/ML-led transformation projects.
Familiarity with Agentic AI/ML, LLM, A2A concepts and their applications in financial services, plus basic SQL and Python as added advantage.
Proven ability to translate complex and ambiguous business problems into structured AI and automation solutions.
Experience managing product backlogs and roadmaps in agile environments with strong stakeholder alignment skills.
Strategic thinker who balances AI innovations with pragmatic, cost-effective automation to optimize finance operations under regulatory constraints.