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Strong Tier‑1 brand and metro location but senior, specialized AI product focus reduces applicant density.
Senior enterprise product skills transfer somewhat, but banking, data protection and risk context increase industry specificity.
Explicit 10+ years requirement and enterprise AI, risk, and stakeholder experience make filters highly selective.
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Own and maintain product roadmap and backlog for enterprise client applications serving over 300,000 global employees, ensuring delivery of measurable business and user value.
Lead end-to-end product lifecycle including AI feature delivery focused on productivity enhancement and risk management automation related to data security.
Engage and influence senior global stakeholders to align priorities and drive execution across distributed agile teams in multiple countries.
Minimum 10 years experience in product management or relevant domain with enterprise technology product delivery.
Experience owning delivery and roadmap of one or more technology products or services in an enterprise environment.
Familiarity with software development lifecycle, agile methodologies, cloud concepts, and technical architecture principles.
Work Experience Required: Minimum 10 years in product management domain or relevant area. Notice period: Not explicitly mentioned in the JD.
Experienced in managing enterprise-scale applications with global user bases and cross-functional distributed teams.
Proficient in driving AI-enabled product capabilities, especially those enhancing productivity and managing data-related risks.
Skilled at influencing senior leadership and aligning complex stakeholder groups across regions including India, UK, and USA.