# Vignesh Moorthy S

**Product Owner & Technical Product Manager — Enterprise SaaS · Enterprise AI · Fortune 500**

Chennai, India · vgnshwork@gmail.com · linkedin.com/in/vgnsh002

## Professional Summary

Product Owner and Technical Product Manager with 10 years of experience delivering enterprise SaaS and AI products for Fortune 500 organizations. Own product strategy, discovery, requirements, roadmap execution and delivery from concept through production and adoption. Run agile delivery across multiple enterprise initiatives — backlog and sprint planning, milestones, UAT, deployment and delivery governance — partnering directly with the C-suite, engineering leadership, external delivery partners and enterprise customers. Track velocity, spillover and dependency aging as leading indicators of delivery health. Engineering background supports technical decision-making, estimation review and clear communication of technical trade-offs to business stakeholders. Experience spans agentic AI, enterprise workforce systems, healthcare applications, operational intelligence and forecasting.

## Core Skills

- **Delivery & Project Management:** Agile Delivery · Scrum · Kanban · Sprint Planning · Backlog Refinement · Sprint Retrospectives · Story Estimation · Milestone Planning · Roadmap & Backlog Management · Release Planning · RAID / Risk & Dependency Tracking · Delivery Governance · Dev / UAT / Production Gates · Change & Scope Management · Impact Analysis · Effort Estimation · Multi-project Delivery
- **Requirements & Business Analysis:** Discovery Workshops · Requirements Elicitation · Business Requirement Documents (BRD) · User Stories · Story Points · Acceptance Criteria · Solution Definition · Workflow & Process Analysis · Stakeholder Management · Executive Reporting
- **AI & Emerging Technology:** Agentic AI · Generative AI · LLMs · RAG · MCP · Microsoft Copilot Studio · Prompt Design · AI Evaluation & Regression Testing · AI Governance · AI Observability · Embeddings & Vector Search · Forecasting (SARIMA · LightGBM · Backtesting) · OCR · Google ML Kit
- **Tools & Platforms:** Jira · Azure DevOps · Microsoft 365 · Copilot Studio · Figma · Adobe XD · JMeter · LoadRunner · Dynatrace · AWS · Azure
- **Technical Fluency:** Python · FastAPI · TypeScript · JavaScript · React · Next.js · Angular · PostgreSQL · REST APIs
- **Adoption & Value:** User Onboarding & Training · Feedback Loops · Adoption Tracking · Value Realisation · Documentation & Handover

## Professional Experience

### ShiftX — Project Lead (operating as Product Owner & Technical Product Manager)
*Sep 2021 – Present*

Partner directly with the C-suite to define, deliver and evolve enterprise SaaS and AI products for Fortune 500 customers. Own discovery, requirements, delivery planning, backlog prioritisation, UX direction and production execution across multiple concurrent enterprise initiatives.

- Ran agile delivery across multiple concurrent product initiatives using Jira and Azure DevOps — roadmap and backlog management, sprint planning, milestone planning, dependency tracking and release planning.
- Wrote, pointed and assigned user stories with clear acceptance criteria; ran backlog refinement to keep work buildable and sprint retrospectives to improve team delivery process.
- Tracked planned vs completed work, velocity trends, recurring spillover, blocked work and dependency aging as leading indicators of delivery health.
- Facilitated customer discovery workshops to understand operational workflows, contractual requirements and business processes; translated findings into product scope, user stories, acceptance criteria and release plans.
- Owned delivery governance and quality: solution review checkpoints, Dev / UAT / Production paths, user-acceptance coordination and release documentation for handover.
- Managed external delivery partners through clear scope, acceptance criteria, milestones, shared definition of done, demonstrations and dependency tracking.
- Partnered with the C-suite and enterprise customers on effort estimation, proposals, commercial discussions, scope conversations, impact analysis and change requests.
- Made feature trade-off decisions balancing customer value, engineering effort, technical dependencies and delivery timelines.
- Introduced milestone-based delivery — Discovery → Build → Demonstrate → Validate → Adjust — enabling predictable releases and continuous customer validation.
- Established leading delivery indicators (velocity, dependency aging, integration readiness) so risk surfaced early rather than at integration.
- Introduced rotating milestone ownership to build delivery ownership across the engineering team; coached engineers in customer communication, technical presentations and feature ownership.
- Prepared BRDs, scope documents, design specifications, training material, release documentation and customer demonstrations.

**Enterprise Workforce Management — Fortune 500 Airline**
Enterprise workforce scheduling and bidding platform supporting 35,000+ employees and 285,000+ schedule lines, with approximately 40,000 users and 4,000 concurrent users at peak.

- Led delivery end to end: discovery, scope definition, backlog, UX, sprint and milestone planning, engineering and QA coordination, UAT, demonstrations, production rollout and post-production support.
- Worked directly with customer product managers through discovery, demonstrations, UAT and post-production enhancements.
- Modernised a legacy workforce management platform into a significantly more intuitive enterprise experience.
- Simplified complex operational workflows through UX improvements that reduced repetitive administrative effort.

**Enterprise AI Testing Platform — Agentic AI (greenfield)**

- Led product definition, AI delivery workflows and roadmap from concept to production-ready in approximately 6 months (first phase in ~3 months).
- Defined a multi-agent solution architecture (information → visual navigation → testing agents) and worked with engineers to turn requirements into a scoped, buildable solution.
- Applied scope discipline early — narrowed the problem until the technology could solve it reliably, excluding environments where it could not.
- Proposed and drove an AI-first stack migration after identifying scalability and development limitations in the existing architecture.
- Supported adoption: embedded guidance in the workflow, explainability (screenshots, navigation paths, decision trees) and human-in-the-loop review and sign-off; the agent runs within daily QA and CI/CD.
- Achieved 70–80% initial QA success, improving with model advances. Shortlisted for the QRDI Global Innovation Challenge.

**Demand Forecasting Engine & Grounded Q&A Agent — Microsoft Copilot Studio**

- Led delivery of a demand forecasting engine: model tournaments (SARIMA vs LightGBM), backtesting, accuracy evaluation and anomaly-aware data handling with disclosed limitations.
- Built and evaluated an enterprise Q&A agent in Microsoft Copilot Studio, grounded on an auto-generated knowledge pack, with governance controls including disabled ungrounded responses and explicit scope boundaries.
- Ran structured evaluation rounds with CSV question/expected-response sets, custom grading rubrics and regression testing; evaluation caught a regression manual testing missed. Final round scored 100/100.

**Pharmacy Management — Cross-platform Application (Healthcare)**

- Led product definition, end-to-end mobile UX, delivery planning and cross-functional execution.
- Delivered a cross-platform application on Android and iOS with ML-powered image search (Google ML Kit), OCR billing, barcode scanning, expiry management, analytics, loyalty and PDF invoicing.
- Recognised by the customer for delivery focus with user experience never sacrificed.

**Additional Enterprise Initiatives**

- *Repository Intelligence* — GitHub-connected agent extracting repository understanding, architecture documentation and requirements from legacy codebases.
- *AI Portfolio Intelligence* — Product positioning, enterprise demonstrations, roadmap and adoption strategy with executive leadership; AI governance, cost attribution and ROI visibility.
- *Operational Intelligence Platform* — Product definition and delivery for a platform integrating Slack, Microsoft Teams, WhatsApp, webhooks and enterprise event monitoring.

### ShiftX — Lead Frontend Engineer
*Dec 2019 – Sep 2021*

- Led frontend architecture and UX implementation for enterprise workforce management products.
- Designed enterprise workflows and user experiences using Adobe XD.
- Independently learned and implemented JMeter and LoadRunner to diagnose production performance issues supporting enterprise-scale rollout.
- Led performance analysis using JMeter, LoadRunner and Dynatrace to identify and resolve critical bottlenecks.

### Infosys — Senior Systems Engineer
*Dec 2016 – Dec 2019*

- Developed enterprise web applications and internal business platforms.
- Built voice-enabled web application prototypes using speech recognition technologies.
- Developed machine learning proof-of-concepts supporting industrial predictive maintenance initiatives.

## Education

- **Indian School of Business** (2026 – 2027) — Executive Programme in Strategy & Leadership, Co'27
- **Velammal College of Engineering and Technology** (2012 – 2016) — B.E., Mechanical Engineering

## Certifications

- **Project Management Institute** — PMP: 35 hours of formal training completed, PMI application approved, examination targeted September 2026
- **Udacity × Google** (2016) — Nanodegree, Front-End Web Development

## Selected Achievements

- Delivered enterprise workforce management products supporting 35,000+ employees.
- Delivered enterprise products across agentic AI, aviation, healthcare and operational intelligence domains.
- Built an enterprise AI platform from concept to production in approximately six months.
- Singapore Airlines GenAI Challenge — Shortlisted.
- QRDI Global Innovation Challenge — Shortlisted.

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_Narrative version: https://vigneshmoorthy.netlify.app/_