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Strong Tier-1 brand and Bangalore location increase competition despite senior, specialized requirements.
Requires deep enterprise data-product leadership and applied AI fluency, reducing cross-industry transferability.
Explicit 15+ years and mandatory enterprise data-product leadership make hiring filters highly stringent.
Own and lead strategy, roadmap, and lifecycle management of critical enterprise-level data and analytics products impacting business outcomes.
Translate executive priorities into actionable product plans, stakeholder alignment, and measurable adoption and value realization.
Ensure data product reliability, governance, and application of advanced analytics/AI by coordinating cross-functional teams including Data Engineering, Governance, Security, and business partners.
15+ years of progressive experience in data & analytics, product management, strategic program leadership, or related fields with complexity at enterprise scale.
Demonstrated ownership of enterprise data/analytics products across strategy, delivery, operations, and measurable impact.
Strong technical fluency to work effectively with engineering, architecture, and security teams; hands-on technical work is not required.
In-office work in the specified office location is expected as per company policy; specific office location name not explicitly mentioned.
Experienced leader capable of managing and influencing senior executives and multidisciplinary global teams for complex, competing priorities.
Practically fluent in applied AI and advanced analytics with the ability to identify use cases, evaluate data readiness, and oversee governance and controls.
Skilled in stakeholder management, product portfolio strategy, and execution with a commercial and operational mindset focused on measurable business value.