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.

Basic Qualifications: 12+ years of experience in data, AI, and analytics

5+ years in retail/consumer goods

5+ years experience with retail datasets: POS, loyalty, CRM, e-commerce, social, advertising

5+ years experience with technical expertise: Modern data stacks:  Hands-on knowledge of technologies like Snowflake, Databricks, and Azure Data Services. Cloud platforms:  Experience with major cloud platforms such as AWS, Azure, and Google Cloud. Retail content marketing platforms: Adobe Experience Platform, Salesforce CDP, Shopify, Google Marketing Platform. AI and ML:  Strong understanding of machine learning principles and experience with AI/ML solutions, including Generative AI. Programming: Exposure to Python, ML libraries, OpenAI/Claude, Hugging Face.

Bachelor’s degree or equivalent (minimum 12 years work experience).

Preferred Qualifications: Track record of leading large-scale retail data & AI transformations.

Experience deploying AI-powered retail use cases: dynamic pricing, churn prediction, supply-demand optimization.

Strong client leadership, executive communication, and commercial acumen.

Master’s degree in Data Science, AI, Business, or related field.

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