Rajat Dhallor — Business Development Manager

I lead enterprise-scale AI, data, and digital platform transformations for global organizations, with accountability for architecture direction, operating models, governance, and value realization. My work focuses on converting fragmented digital initiatives into institutional technology capabilities that endure beyond pilots, vendors, and leadership cycles. At Tech Mahindra, I operate at the intersection of enterprise architecture, AI platforms, and business transformation, delivering multi-client programs across healthcare, industrial manufacturing, energy, telecom, and consumer sectors. I work directly with senior leadership to define where AI should exist in the enterprise, how it should be governed, and how it should be scaled responsibly across functions. Over the last decade, I have helped large enterprises: • Transition from legacy-centric IT to cloud-native, data-driven operating environments • Institutionalise AI decision frameworks across supply chain, finance, operations, and asset management • Move from experimentation to repeatable, governed AI deployment at scale Enterprise Transformation Outcomes • Established enterprise AI operating models spanning use-case intake, data readiness, governance, delivery, and adoption • Delivered AI-driven operational platforms achieving 25–30% efficiency gains across supply chain, maintenance, and planning • Modernized 12+ mission-critical enterprise systems, enabling scalable cloud and analytics foundations • Designed GenAI-enabled intelligence layers across maintenance, finance, and enterprise search workflows • Enabled executive decision-making through integrated control towers and real-time analytics platforms AI Operating Model & Leadership Capability Beyond solution delivery, I have been responsible for building AI leadership capacity inside enterprises. I designed and delivered an enterprise AI Champions Program for a global MedTech organization (client engagement via Tech Mahindra), creating a structured pathway for business and technology leaders to own AI adoption responsibly.

Stackforce AI infers this person is a leader in enterprise AI and digital transformation across multiple sectors.

Location: Delhi, Delhi, India

Experience: 12 yrs 4 mos