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 What would you do?

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 What are we looking for?

Define the platformData Architecture Blueprint for client deployments across SaaS, Client Instance, and Hybrid archetypes.

Translate business and process requirements into conceptual, logical, and physical data models that integrate seamlessly with platform modules.

Develop data reference architectures, including ingestion, storage, transformation, and access layers

Partner with Enterprise Architect Leads to design end-to-end data flows and integration strategies that connect ERP, CRM, and third-party systems

Embed AI and analytics readiness into the architecture — ensuring data is structured for reasoning, forecasting, and automation use cases. Roles and Responsibilities:

In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors

Requires adherence to strategic direction set by senior management when establishing near-term goals

Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach

Some latitude in decision-making in involved you will act independently to determine methods and procedures on recent assignments

Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture

Please note that this role may require you to work in rotational shifts

📌 AI/ML Computational Science Manager (Gurugram)
🏢 Accenture in India
📍 Gurugram