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Program Manager with 5+ years in AI/ML Systems & Global Programs
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Senior Product and Operations leader with a decade at Amazon building AI/ML systems, improving scaling global programs, and turning operational complexity into measurable business outcomes. Designed and shipped production ML systems - spanning LLM-based anomaly detection, supervised learning classifiers, and predictive revenue models recovering $512M in royalty discrepancies, eliminating 56 headcount through automation, and delivering $39.5M in operational savings. Scaled initiatives across 45+ international marketplaces and 17+ product lines to generate $70M in incremental revenue. Leads 90+ person organizations with executive governance, Lean Six Sigma, and data-driven decision-making to raise operational standards and accelerate growth.
Unknown
B.Tech · Mechanical Engineering
August 1, 2016 – Present
Unknown
Diploma · Mechanical Engineering
August 1, 2013 – Present
Amazon
Sr. Program Manager - Customer Experience & AI/ML
October 1, 2024 – March 1, 2026
Bengaluru, Karnataka, India
Amazon
Sr Operations Program Manager - Pricing, Selection & Royalty
December 1, 2020 – September 1, 2024
Chennai, Tamil Nadu, India
Lean Six Sigma Green Belt
Unknown
June 1, 2026 – Present
Supply Chain Management - Amazon Internal
Unknown
June 1, 2026 – Present
Category Management - Amazon Internal
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience at Amazon, a company known for its fast-paced, data-driven, and customer-obsessed culture, suggests a strong cultural fit for similar environments. Their track record of owning VP-level objectives, driving large-scale initiatives, and delivering measurable business outcomes aligns well with high-performance cultures. The emphasis on process optimization, Lean Six Sigma, and continuous improvement indicates a mindset geared towards efficiency and innovation. The breadth of projects, from customer experience to pricing and supply chain, demonstrates adaptability and a willingness to tackle diverse challenges.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, cross-functional collaboration, and strategic thinking. Their experience in maintaining performance governance frameworks, leading sprint planning, and conducting business reviews indicates a robust operational fit. The ability to translate complex technical concepts (ML model outputs) for non-technical stakeholders highlights strong communication and stakeholder management skills. Their focus on identifying root causes, risk identification, and compliance adherence suggests a proactive and detail-oriented approach to operational excellence.