Manoj Philip Mathen is a technology executive with over 23 years of experience leading enterprise AI, data science, cloud, and digital transformation initiatives. He is a Managing Director at Accenture, focused on accelerating enterprise transformation through Oracle technologies, AI, and cloud innovation.
Previously, Manoj led AI, Innovation & Modelling for Wells Fargo's Global Operations across India and the Philippines, driving the development and operationalization of AI solutions in a highly regulated environment. Before Wells Fargo, he served as a Chief Architect at Oracle, leading AI and Data Science initiatives across the JAPAC region. Earlier in his career, he held technology architecture and leadership roles at Infosys.
Manoj is also a PhD scholar in Information Systems at the Indian Institute of Management Kozhikode, where his research examines the organizational challenges of AI adoption and operationalization. He holds multiple US patents and has authored research publications and book chapters spanning AI, cloud computing, and emerging technologies.
His professional interests lie at the intersection of enterprise AI strategy, agentic systems, responsible AI, and technology-led business transformation, with a particular focus on translating emerging technologies into scalable, measurable enterprise outcomes.
Professional Journey
Featured Conversations
Podcast · Spotify
Enterprise AI, leadership and transformation
A conversation on the organisational, technology and leadership choices required to make AI deliver sustained value.
A conversation on enterprise AI and transformation.
Perspectives on translating AI ambition into scalable business value, responsible adoption, and organisational change.
My Perspectives on AI & Enterprise Transformation
All views expressed are my own and do not necessarily reflect those of my current or former employers
Patents & Publications
A record of technical innovations and scholarly contributions driving the evolution of AI-first enterprise architecture and strategic IT transformation.
Patents
Predict Server failures during a systemic process basis temporal signature
AI/ML-based defect prediction for heterogeneous systems and cloud environments - US 11354219 B2
System for anomaly detection in cloud-native workloads • 2023
Publications
IIMK Case study
Selected Engagements
Speaking on enterprise AI
Head of AI for a large bank
Data & AI forum
Industry roundtable
Stay in Touch
I welcome thoughtful conversations on AI, technology, research, and emerging ideas.