Rohan R

Program Manager specializing in large-scale program governance, execution visibility and cross-functional delivery predictability across distributed technical teams. Managed high-volume production workflows (~500K monthly work items) across global teams while coordinating with engineering and product stakeholders to ensure readiness, adoption and stable releases. Focused on execution predictability, stakeholder alignment and post-launch reliability.

Program Manager | AI/ML Operations at Amazon (2022-08 – Present)

• Managed ML data programs processing ~500K monthly work items across 200+ FTE, ensured stable inputs for production AI systems.
• Built QA governance framework improving quality accuracy to 96%+ while maintaining 100% SLA adherence.
• Established execution governance across 15+ concurrent programs improving predictability and delivery adherence to 95–100%.
• Implemented centralized incident intake resolving 772+ issues; reduced resolution cycle time 43% and prevented repeat failures.
• Coordinated rollout readiness with product and engineering teams, aligning scope, dependencies and stakeholder expectations to ensure stable downstream adoption after releases.
• Standardized workflows and defect controls eliminating 40% manual effort and improving downstream reliability.
• Supported launch stabilization by monitoring post-deployment issues, triaging blockers and coordinating fixes across partner teams.
• Built performance dashboards enabling early risk detection and data‑driven capacity planning.
• Drove $500K+ cost recovery via prioritization and automation improvements.

Senior ML Data Associate-II at Amazon (2018-06 – 2022-07)

• Led large-scale ML data workflows requiring strict quality thresholds; sustained 96%+ SLA adherence through structured review and calibration mechanisms.
• Simplified processes and SOPs, reducing execution steps by 30% and manual effort by 40%, improving scalability and efficiency.
• Managed high-volume delivery under tight timelines; absorbed 20% additional demand through structured capacity planning and real-time stakeholder coordination.
• Coached and mentored 10 team members through regular 1:1s and feedback improving performance, retention and collaboration.

Data Associate at Amazon (2016-10 – 2018-05)

• Streamlined large-scale data annotation workflows by implementing quality assurance mechanisms enabling accurate dataset utilization. This helped in achieving 100% delivery as per SLAs and quality scores of above 96% consistently.

B.Tech in Computer Science – SRM University (2016)