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Tier-1 brand, popular product role, mid-level experience, metro location increase candidate competition.
Product and ML skills are transferable, but banking risk and controls increase domain specificity.
Explicit 5+ years, mandatory LLM/MLOps and product experience make screening highly selective.
Collaborate with Product Manager and cross-functional teams to identify and deliver new product opportunities by leveraging user research and customer feedback.
Manage end-to-end product development lifecycle including writing requirements, epics, and user stories to support product delivery.
Analyze product metrics and consider impact of new features on overall product experience to continuously optimize product offerings.
5+ years experience in product management or relevant domain.
Proficient knowledge of product development lifecycle with hands-on experience implementing LLM-enabled analytics and responsible AI controls (PII handling, prompt safety, explainability).
Experience with MLOps/ModelOps including monitoring, drift detection, retraining, governance, and auditability.
Work Experience Required: 5+ years in product management or relevant domain area.
Experienced in collaborating with Engineering, Data Science/ML, Data Engineering, Design, and Risk teams for AI-enabled financial product development.
Demonstrated ability in applying advanced AI technologies such as LLM analytics and AI assistants (e.g., Claude, Copilot) within controlled environments.
Comfortable operating in data-driven environments with strong capabilities in data literacy, model governance, and product discovery to shape strategic roadmaps.