I&P - GN - SONG - AI & Data - Commerce - Decision Science - Manager

Accenture in India
Bengaluru, Karnataka, India

Job Summary

As part of our Data & AI practice supporting SONG Commerce, you will lead the shaping and delivery of data, analytics, AI/ML and Agentic AI solutions for commerce clients. You will connect commercial priorities with scalable solution architecture and delivery across pricing, promotion, assortment, personalization, recommendation, campaign activation and next-best-action use cases, while guiding teams and senior client stakeholders.

Roles & Responsibilities:

  • Work through project phases from data discovery and commerce problem definition through model/agent build, validation, integration, deployment and handover.
  • Define data requirements for SONG Commerce analytics and Agentic Commerce capability.
  • Clean, aggregate, analyze, interpret data, and carry out data quality analysis.
  • Apply market sizing, lift estimation and experimentation/measurement approaches to pricing, promotions, campaigns, personalization and other commerce decisions.
  • Apply non-linear optimization techniques to pricing, promotion, assortment, offer and resource-allocation use cases.
  • Use time-series, clustering, causal and descriptive analytics to support merchandising and commerce intelligence, including demand, pricing, promotion, assortment and customer/product decisioning.
  • Hands on experience in state space modeling and mixed effect regression.
  • Develop and validate AI/ML models in Azure ML and integrate model outputs into commerce decisioning and agentic workflows.
  • Develop and Manage data pipelines.
  • Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models.
  • Working knowledge of resource optimization
  • Working knowledge of NLP, Large Language Models, LangChain/LangGraph, RAG and multi-agent patterns; guide architecture choices, enterprise integration, guardrails and evaluation for Agentic Commerce solutions.
  • Manage senior client relationships and expectations; communicate commerce insights, Agentic AI solution choices, value implications, risks and recommendations effectively.
  • Drive capability building and thought leadership in AI-enabled and Agentic Commerce, including reusable patterns, accelerators and propositions.
  • Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials.
  • Task Management – Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress.

Client Relationship Development

  • Manage client expectations and develop trusted relationships
  • Maintain strong communication with key stakeholders
  • Act as a strategic advisor to clients on data-driven and AI-enabled commerce decisions across pricing, promotion, assortment, personalization, recommendation and customer activation.

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Questions about this job

How do I apply for the I&P - GN - SONG - AI & Data - Commerce - Decision Science - Manager job at Accenture in India?

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What skills does Accenture in India want for this I&P - GN - SONG - AI & Data - Commerce - Decision Science - Manager role?

The job description asks for data discovery, model/agent build, validation, integration, deployment, data requirements, data quality analysis and market sizing. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

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Is this I&P - GN - SONG - AI & Data - Commerce - Decision Science - Manager job remote or onsite?

This is based in Bengaluru, Karnataka.

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