Shourya Ranka
Senior Engineering Manager | The Economist Group
Senior Engineering Manager with over 12 years of experience building and scaling web platforms, data products, and engineering organisations across global media and fintech. Currently lead a 22-person cross-functional engineering organisation across four enterprise platforms at The Economist Group, spanning frontend, backend, QA, engineering management, platform reliability, and delivery governance.
Delivered 3x portfolio delivery uplift, improved platform uptime from 99.0% to 99.9%, achieved zero P1 incidents over six consecutive months, and led the delivery of data platforms used by 100+ analysts. Strong background in platform architecture, AI-augmented engineering, observability, FinOps, data/analytics platforms, accessibility, and engineering governance.
Known for scaling teams through structured onboarding, competency frameworks, RFC-based decision-making, coaching, and responsible adoption of AI-assisted engineering practices.
Core Competencies
Engineering Leadership
Team budget management, People Management, Hiring, Coaching, Team Scaling, Engineering Governance, Stakeholder & Third party / Client Management
Platform Architecture
Enterprise Platforms, Full-Stack Delivery, Microservices, Data Platforms, CMS Platforms, API Integration
AI-Augmented Engineering
AI-Assisted Delivery, Responsible AI Governance, Code Review Guardrails, LLM-Augmented Workflows
Cloud, Reliability & FinOps
AWS, New Relic, Cloudflare, GitHub, DR/BCP, Incident Response, Observability, Cost Governance
Frontend & Backend
React, Redux, TypeScript, Node.js, .NET Core, Python, SASS, Handlebars, Backbone.js
Analytics & Data
Adobe Analytics, Adobe Launch, Google Analytics, GTM, Amplitude, Highcharts, Google Charts, Data Lakes
Professional Experience
The Economist Group
Senior Engineering Manager
09/2021 – Present | Gurugram, NCR
- Represented The Economist Group engineering externally through APIDays Conference and led The Economist to India Digital Awards nomination for "Best Use of Cloud & Data Strategy in Architecture."
- Increased portfolio delivery throughput by 3x in six months by implementing an AI-augmented engineering operating model across four squads, improving sprint throughput from 20 to 42 points and moving release cadence from sprint-based delivery to continuous production deployment.
- Improved Viewpoint Platform uptime from 99.0% to 99.9% and achieved zero P1 incidents for six consecutive months by introducing runbooks, alerting policies, on-call schedules, and incident response practices across New Relic, AWS, GitHub, and Cloudflare.