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Sushant Mukhopadhyay

Program Manager, Last Mile Delivery & Technology (LMDT) at Amazon | Corporate Training | Operations | Data Enthusiast πŸš€ Driving efficiency, optimizing operations, and empowering teams with data-driven insights πŸ’‘

Bengaluru

4+ years of work experience

Amazon
Apr 20251 yr 3 mosPresent

Bengaluru, Karnataka, India

- Managing geospatial programs focused on reducing last mile delivery defects through data-driven initiatives. - Drafted SOPs in collaboration with Operations, Science, and Product teams to standardize defect auditing and resolution workflows. - Overseeing progress and stakeholder engagement for the rollout of address resolution automation models. - Analyzing defect patterns and supporting process improvements to enhance delivery accuracy. - Partnering cross-functionally to remove blockers and drive program execution. - Providing regular updates in business reviews to ensure visibility and coordination.
Amazon
Jul 202410 mosApr 2025

Bengaluru, Karnataka, India

– Designed and launched the Programmatic Defect Scan (PDS) framework from the ground up to proactively identify ad policy violations. Led end-to-end implementation, team setup, and audit processes across locales, resulting in the review of over 171,000 ASINs and resolution of 2,300+ audit cases, preventing 43,000+ potential customer-facing defects. – Collaborated with policy, tech, and analytics teams to improve ad review workflows, ensuring that ads flagged for sensitive content were routed for manual review instead of automatic approval. This update helped redirect 43,600 sensitive ads, improving policy adherence and reducing escalation risk. – Streamlined operational processes by contributing to the development of tools like the Andon SIM Creator, reducing resolution time by up to 77% and enabling faster escalation handling across international markets for Amazon Managed Ads. – Designed and executed targeted compliance strategies, overseeing thematic audits that led to the suspension of 600+ non-compliant ASINs, eliminating recurring violations and reducing issue recurrence to zero over a two-month period. – Conducted onboarding and training for new points of contact using a structured mentorship approach, enabling them to manage key parts of the daily review process independently during peak periods.
Amazon
Oct 20221 yr 10 mosJul 2024

Bengaluru, Karnataka, India

- Implemented improvements in audit methodologies, increasing critical defect detection by 30%. - Directed cleanup operations and advanced scanning techniques during peak periods, mitigating over 3,000 defective ads and preserving advertising ecosystem integrity. - Overhauled partner team’s on-call mechanisms, improving response times by 30% and enhancing operational agility. - Developed the PDS Enhanced ETL Profile and introduced a Self-Serve ETL tool, reducing false positives by 70% and halving the manual data extraction effort.

Education

PES University

Bachelor of Engineering - BE, Computer Science

PES University

Air Force Bal Bharati School

Air Force Bal Bharati School

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Headline

Program Manager, Last Mile Delivery & Technology (LMDT) at Amazon | Corporate Training | Operations | Data Enthusiast πŸš€ Driving efficiency, optimizing operations, and empowering teams with data-driven insights πŸ’‘

Location

Bengaluru

Work experience

Program Manager l at Amazon, Apr 2025 - Present Β· 1 yr 3 mos, Bengaluru, Karnataka, India, - Managing geospatial programs focused on reducing last mile delivery defects through data-driven initiatives. - Drafted SOPs in collaboration with Operations, Science, and Product teams to standardize defect auditing and resolution workflows. - Overseeing progress and stakeholder engagement for the rollout of address resolution automation models. - Analyzing defect patterns and supporting process improvements to enhance delivery accuracy. - Partnering cross-functionally to remove blockers and drive program execution. - Providing regular updates in business reviews to ensure visibility and coordination.

Ad Quality SME (Amazon Ads | Performance Advertising) at Amazon, Jul 2024 - Apr 2025 Β· 10 mos, Bengaluru, Karnataka, India, – Designed and launched the Programmatic Defect Scan (PDS) framework from the ground up to proactively identify ad policy violations. Led end-to-end implementation, team setup, and audit processes across locales, resulting in the review of over 171,000 ASINs and resolution of 2,300+ audit cases, preventing 43,000+ potential customer-facing defects. – Collaborated with policy, tech, and analytics teams to improve ad review workflows, ensuring that ads flagged for sensitive content were routed for manual review instead of automatic approval. This update helped redirect 43,600 sensitive ads, improving policy adherence and reducing escalation risk. – Streamlined operational processes by contributing to the development of tools like the Andon SIM Creator, reducing resolution time by up to 77% and enabling faster escalation handling across international markets for Amazon Managed Ads. – Designed and executed targeted compliance strategies, overseeing thematic audits that led to the suspension of 600+ non-compliant ASINs, eliminating recurring violations and reducing issue recurrence to zero over a two-month period. – Conducted onboarding and training for new points of contact using a structured mentorship approach, enabling them to manage key parts of the daily review process independently during peak periods.

Quality Analyst / Expert (Amazon Ads | Performance Advertising) at Amazon, Oct 2022 - Jul 2024 Β· 1 yr 10 mos, Bengaluru, Karnataka, India, - Implemented improvements in audit methodologies, increasing critical defect detection by 30%. - Directed cleanup operations and advanced scanning techniques during peak periods, mitigating over 3,000 defective ads and preserving advertising ecosystem integrity. - Overhauled partner team’s on-call mechanisms, improving response times by 30% and enhancing operational agility. - Developed the PDS Enhanced ETL Profile and introduced a Self-Serve ETL tool, reducing false positives by 70% and halving the manual data extraction effort.

Education

Bachelor of Engineering - BE, Computer Science, PES University

Air Force Bal Bharati School