Senior AI, data, and digital transformation executive specializing in enterprise-scale deployment of AI, data platforms, and intelligent systems that drive measurable business outcomes. With extensive experience as Chief Information Officer across multiple industries, Shouvik brings a rare combination of executive leadership, enterprise systems expertise, and hands-on transformation delivery. His work reflects a core principle: organizations achieve differentiation not through access to AI, but through how effectively they operationalize it.
Shouvik Dutta works with organizations to translate AI strategy into operational capability, scalable platforms, and sustained competitive advantage. His focus is on helping organizations move beyond isolated AI initiatives — the proof-of-concept that never reaches production, the ML model that sits in a notebook — to build integrated, production-grade AI capabilities embedded within core business processes.
His CIO experience across multiple industries, including extensive work in private equity-backed and growth-oriented environments, gives him the executive standing to engage at board level and the operational depth to drive delivery. He is fluent in the language of EBITDA, acquisition integration, and platform architecture simultaneously — which is the combination that PE-backed CIOs and CFOs actually need when evaluating a transformation engagement.
Within the Milestone Planning and Research consulting practice, Shouvik serves as execution and platform architect — ensuring that AI strategies are technically and operationally viable, that data infrastructure supports advanced analytics and LLM deployment, and that AI initiatives move from concept to production and deliver sustained value. His work connects directly with PRIMMS-GPT signal detection and John Aaron's AI governance frameworks to create a single, scalable operating model from perception to execution.
Delivered consistent outcomes across global organizations — enterprise ERP transformations, data warehouse and analytics platform development, AI-enabled customer engagement and forecasting, acquisition integration, and direct EBITDA improvement.
Led enterprise technology and digital strategy across a global organization. Integrated multiple acquisitions, modernized ERP platforms, and built the data foundation required for advanced analytics and AI-driven decision-making.
Enterprise technology leadership. ERP transformation and data platform development supporting operational performance and scalable growth.
Digital strategy and enterprise systems leadership. Platform architecture supporting multi-site operations and operational efficiency improvements.
Technology leadership in a complex, compliance-intensive operational environment. Systems integration and data platform development.
Enterprise technology and digital strategy for last-mile logistics. CRM integration, business intelligence, and operational platform modernization.
Technology leadership through SAP ERP transformation. Data platform and analytics capability development supporting apparel manufacturing and distribution operations.
Aligning AI investment and roadmap directly to value creation — from board-level framing to operating unit execution plans with clear milestones, governance frameworks, and ROI accountability.
Designing AI-ready infrastructure, data warehouses, and analytics platforms that serve as the foundation for advanced machine learning deployment and LLM integration.
Embedding large language models and machine learning into business workflows and decision processes — moving from experimentation to production with governance boundaries intact.
SAP S/4HANA and multi-ERP transformations as the structural foundation for AI-enabled operations and data-driven decision-making. The transactional backbone that advanced analytics requires.
Digital process transformation and intelligent automation that reduces friction, accelerates throughput, and frees human capacity for higher-value work — at production grade, not proof-of-concept.
Risk management frameworks, AI governance models, and cybersecurity architecture designed for enterprise-scale AI deployment — aligned with the Hybrid Cognition governance principles of Milestone Planning and Research.