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Accenture in India is seeking an AI/ML Computational Science Manager to lead data architecture initiatives within the Technology for Operations team. You will translate complex business requirements into scalable data models and blueprints that support SaaS, client deployments, and hybrid environments.
The role requires 13–18 years of experience and a broad mastery of data ingestion, storage, transformation, and integration across ERP and CRM systems, with a focus on embedding AI readiness and
Skill required: Tech for Operations - Data Architecture Principles
Designation: AI/ML Computational Science Manager
Qualifications: Any Graduation
Years of Experience: 13 to 18 years
About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com
You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent Automation Set of rules, policies, standards and models that govern and define the type of data collected and how it is used, stored, managed and integrated within an organization and its database systems