AI Transformation Senior Manager - Retail

Created at: October 02, 2025 00:07

Company: Accenture

Location: Cleveland, OH, 44101

Job Description:

We are:
Accenture Song accelerates growth and value for our retail clients through sustained customer relevance. Our capabilities span from ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence.
You are:
As a Senior Manager for Data & AI in Retail at Accenture Song, you will help global and national retailers reinvent marketing, commerce, and customer experience through advanced analytics, data orchestration, and generative AI. You will shape how retailers leverage customer, transactional, and behavioral data to improve loyalty, optimize media investments, personalize commerce, and create new growth opportunities.
The work:
Shape and deliver Data & AI strategy for Retail: Develop transformation roadmaps integrating retail datasets (POS, loyalty, e-commerce, supply chain, customer journeys).
Retail-specific analytics: Marketing & commerce analytics (campaign measurement, segmentation, demand forecasting, attribution, recommendation engines).
Data orchestration: Build Customer 360 architectures unifying CRM, loyalty, e-commerce, and behavioral data into AI-ready pipelines for hyper-personalization.
GenAI for retail: Deploy solutions for product descriptions, chatbot-driven commerce, digital store assistants, and personalized shopper journeys.
Lead client engagements: Manage large-scale retail AI programs including CDP, analytics platforms, and clean room integrations.
Drive business development: Originate offerings such as AI-powered pricing, personalized promotions, and campaign optimization.
Build and mentor teams: Lead multidisciplinary teams of data scientists, engineers, and consultants.
Be a trusted advisor: Advise retail CMOs, CDOs, and CIOs on data, AI, and cloud adoption strategies.


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