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

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.

• →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.

• 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.

5+ years of experience in Commerce / Data Driven Merchandising / Commercial Analytics involving Pricing, Promotions, Assortment Optimization, personalization/recommendations, Route-to-Market or related Retail / CPG capabilities.

Strong understanding of econometric/statistical modeling: regression analysis, hypothesis testing, multivariate analysis, time series, optimization; ability to apply these techniques to commerce use cases such as pricing, promotions, assortment, demand and targeting.

• Expertise in Azure ML, SQL, R, Python and PySpark; working experience with LLM application frameworks such as LangChain/LangGraph, RAG and vector retrieval.
• Proficiency in non-linear optimization and resource optimization
• Familiarity with design patterns for deploying and maintaining ML models in production
• Strong command over commerce, marketing, customer, product, pricing, promotion and transaction data, and the corresponding business processes in Retail and CPG
• Hands-on with tools like Excel, Word, PowerPoint for communication and documentation

• Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record

• undefined
• undefined
• undefined

Visit us at www.accenture.com 

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.