Kirthy Chennaian · Atlanta, GA

Operating at the
edge of AI & the enterprise.

Two decades scaling AI, quality, and global delivery across $200M+ P&Ls — by treating reliability, not velocity, as the durable differentiator.

Current
VP & Global COO, Capgemini
P&L Scope
$220M+ · 5,000+ professionals led
Industry Depth
Telecom · Consumer Products
Credential
MIT — AI for Senior Executives
§ 01

A bilingual operator. Built inside the buyer and the deliverer.

Kirthy Chennaian is a transformational technology executive with 22+ years leading large-scale digital, AI, and engineering programs at the intersection of business strategy and operating reality. Fourteen years inside T-Mobile shaping enterprise quality and reliability. Eight years inside Capgemini scaling Tier-1 delivery for the firm's largest global Consumer Products engagement. Today: Global COO, accountable for a $220M+ P&L spanning delivery excellence, financial performance, AI-led modernization, and enterprise governance across multiple geographies.

The through-line is structural. Every role he has held has approximately doubled the previous in scope — from a $65M P&L and 240-person organization in 2011, to leading 700+ engineers on a $100M+ budget at T-Mobile, to scaling Capgemini's Americas Quality Engineering portfolio from $140M to $280M in three years, to today's global mandate. He compounds because he industrializes: he turns what most leaders treat as bespoke into platforms, frameworks, and durable engines of growth.

His point of view on AI is contrarian by background. Most enterprise AI leaders come from data science or product. Kirthy comes from Quality Engineering and Site Reliability — meaning he reads AI through trust, governance, observability, and measurable failure modes. It is the difference between AI that demos and AI that survives audit, scales, and shows up on the income statement.

§ 02

The Moat — five things that don't show up on a résumé.

  1. i.

    The reliability-first AI operator

    Most AI executives optimize for velocity — ship the model, run the demo, declare the win. Kirthy's two-decade foundation in Quality Engineering and Site Reliability inverts the frame. He treats trust, observability, and governance as the differentiator, not the afterthought. Inside Capgemini, he architected the firm's enterprise Quality Engineering Platform — the global standard for AI-powered testing and assurance delivery. The result: AI that ships, scales, and survives both audit and the second quarter.

    Defensible · Timely · Non-obvious

  2. ii.

    Operator and services bilingual

    Fourteen years inside T-Mobile. Eight years inside Capgemini's largest global engagement. Kirthy has sat on both sides of every $100M+ transformation deal — the buyer's chair and the deliverer's. That bilingual fluency is structurally rare. It allows him to diagnose which programs will fail before the SOW is signed, evaluate vendor-led pitches with x-ray vision, and translate strategy into governance that actually holds.

    Rare · Asymmetric · Hard to copy

  3. iii.

    A 23-year compounding scale pattern

    $65M P&L with 240 professionals. $100M+ budget with 700 engineers. A $140M portfolio scaled to $280M in three years. Today: a $220M+ global P&L. Each role roughly doubles the prior in scope — not by accident, but because he industrializes the work. The signal to a board: this is a leader who turns ad-hoc execution into compounding engines.

    2× cadence · Compounding curve

  4. iv.

    Earned credibility in the two most unforgiving verticals

    Telecommunications punishes leaders who don't understand network economics, churn, and infrastructure scale. Consumer Products punishes those who can't navigate supply-chain complexity, demand sensing, and brand stewardship. Kirthy has earned his stripes inside both, at scale — Tier-1 carrier (T-Mobile, 14 years) and Capgemini's largest global CP engagement. That credibility is portable to any complex enterprise.

    Telecom · Consumer Products · F500

  5. v.

    Practitioner, not pundit

    Three published books on enterprise quality, data-center transformation, and Site Reliability Engineering. Co-author of the Capgemini World Quality Report — the benchmark publication of the field. Keynote credentials with HPE and SAP. MIT certification in AI for Senior Executives. An active podcast voice on AI and enterprise quality. Distribution capital that compounds against every other moat — and a tell that he teaches the field rather than sells to it.

    Books · Keynotes · Podcast · MIT

The shortage in enterprise AI is not models. It is leaders who can make AI shippable, governable, and accountable to a P&L.

— The Operating Thesis

§ 03

Twenty-three years, condensed.

$220M+

Current global P&L scope as VP & Global COO at Capgemini.

2×

Americas Quality Engineering portfolio scaled $140M → $280M in three years.

5,000+

Professionals led across global delivery organizations over a 22-year career.

14yrs

Inside T-Mobile — building enterprise quality, SRE, and DevOps at carrier scale.

50%

Increase in delivery speed at T-Mobile via automation and continuous-testing pipelines.

30%

Reduction in enterprise quality operating costs through AI-led automation.

700+

Annual project throughput at T-Mobile across Marketing, Retail, Supply Chain, Finance, HR.

3

Published books on quality, data-center transformation, and Site Reliability Engineering.

§ 04

Two operating chapters. One compounding curve.

Capgemini

2018 — Present · 8+ Years

VP & Global COO, Group Platinum Client

Sep 2025 — Present

Global operational leader for Capgemini's largest Consumer Products account. Accountable for a $220M+ P&L spanning delivery excellence, financial performance, AI-enabled modernization, and enterprise governance across multiple geographies.

VP & Head, Quality Engineering & Testing — Americas

Mar 2022 — Aug 2025

Scaled the Americas QE&T portfolio from $140M to $280M through strategic account expansion, domain-led solutioning, and AI-led automation. Architected Capgemini's enterprise Quality Engineering Platform, standardizing AI-powered testing and assurance globally across the firm's client portfolio.

VP — Portfolio Head, Digital Assurance & Quality Engineering

Jul 2021 — Mar 2022

Owned North America growth strategy, offer development, solution architecture, and alliance partnerships. Aligned assurance strategies with cloud modernization, SAP, and enterprise product engineering programs.

Sr. Director — Portfolio Head, Digital Assurance & QE

Jan 2018 — Jul 2021

Led North America QE portfolio. Implemented Agile, end-to-end automation, DevOps, AI/ML, predictive analytics, and Site Reliability Engineering at enterprise scale. Strategic advisor to CIOs and executive decision-makers across industry verticals.

T-Mobile

2003 — 2017 · 14+ Years

Sr. Director & Head, Enterprise Quality & Reliability Engineering

Aug 2014 — Dec 2017

Led a global engineering organization of 700+ professionals with a $100M+ budget across quality engineering, test automation, SRE, infrastructure, and analytics. Spearheaded DevOps transformation via CI/CD and continuous-testing pipelines; built T-Mobile's SRE practice — driving operational predictability through monitoring, service virtualization, and data automation.

Director, Enterprise Quality Management

Feb 2011 — Aug 2014

Managed $65M P&L for a 240-person organization delivering 700+ projects annually across Marketing, Retail, Supply Chain, Finance, and HR. Increased delivery speed by 50% and reduced costs by 30% through automation frameworks. Achieved an additional 25% savings via vendor consolidation and strategic outsourcing. Recognized by HPE and SAP with keynote-speaking invitations and awards for IT transformation and business-process testing excellence.

Senior Manager, Enterprise Quality Management

Jun 2003 — Feb 2011

Foundation years. Built the disciplines, the playbooks, and the operating instincts that the next two decades scaled.

§ 05

How the work is productized.

i.

Board & Advisory

Public and private boards. Advisory boards for AI-native and AI-transforming enterprises. Operating-partner roles with private equity and growth-stage capital. Selective engagements where governance, AI-readiness, and operating discipline materially move enterprise value.

For: PE / VC · F500 boards · Growth-stage

ii.

Fractional CXO & Executive Advisor

Fractional COO, CTO, and CAIO engagements for organizations navigating AI transformation, SAP/ERP modernization, or operating at the inflection between $50M and $1B. Hands-on counsel where a permanent C-suite hire is premature but the operating risk is not.

For: Mid-market CEOs · Transformation programs

iii.

Speaking & Keynotes

Industry stages, CIO summits, and executive education on enterprise AI, the economics of reliability, the future of quality, and the operator's playbook for AI-led transformation. Past venues include HPE and SAP keynote programs and Capgemini's flagship industry events.

For: Industry events · Executive forums

iv.

Writing & Podcast

Long-form essays and frameworks on the intersection of AI, governance, and operating reality — informed by twenty-plus years inside enterprise transformation programs. Host of an emerging podcast on enterprise AI and the operator's perspective on the next decade of compute.

For: Operators · CIOs · Boards

§ 06

Voice — published, spoken, taught.

Books & Reports

  • ERP Test Excellence

    Author · Enterprise quality at SAP scale

  • Data Center Transformation

    Author · Operating-side modernization

  • Site Reliability Engineering

    Author · Enterprise SRE adoption

  • Capgemini World Quality Report

    Co-author · The industry benchmark

Speaking & Keynotes

  • The Future of Quality in the AI World

    Industry keynote

  • SAP Transformation at Enterprise Scale

    SAP keynote program

  • Digital Delivery: From Pilot to P&L

    CIO summit

  • HPE / SAP Awards & Recognition

    For IT transformation excellence

Education & Credentials

  • MIT — AI for Senior Executives

    2024 · Sloan-affiliated executive program

  • M.S., Computer Science

    Illinois Institute of Technology

  • B.Tech., Information Technology

    University of Madras

  • No-Code AI & Machine Learning

    Applied AI certification

§ 07 — Engage

Selective engagements,
signal-only inbound.

Boards, advisory mandates, fractional CXO engagements, and keynote inquiries are considered case by case. Conversations begin on LinkedIn — which keeps the bar where it belongs.

linkedin.com/in/kirthychennaian

Atlanta-based. Open to remote and travel mandates. References, deal sheets, and detailed track record provided on request, in confidence.

© Kirthy Chennaian · AtlantaLast updated · May 2026