We Are
 
Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span 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. Visit us at: www.accenture.com/song
Overview
We are seeking a Manager to support the design and delivery of agentic commerce transformation initiatives for technology clients. This role will focus on helping consumer goods and retail companies adapt to a new model of customer engagement where AI-powered agents, conversational interfaces, and intelligent systems influence how products are discovered, evaluated, and transacted.
As customer journeys evolve beyond traditional digital channels, organizations must rethink how their products, content, platforms, and data are structured to operate within AI-driven and ecosystem-based environments. This Manager will play a key role in translating emerging agentic commerce concepts into practical strategies and executable solutions.
You will work across strategy, digital experience, content, platform integration, and data teams to help clients improve how their products show up across search, AI interfaces, and partner ecosystems, while ensuring readiness for agent-mediated interactions.
The ideal candidate combines experience in digital strategy, consulting, and consumer goods/retail industry expertise with an interest in how AI and agent-based experiences are transforming customer journeys.
Job Responsibilities
Agentic Commerce Strategy & Execution
Help define how financial products and services should be structured for AI-driven discovery and agent-assisted decision-making.
Translate emerging agentic commerce trends into practical use cases and implementation roadmaps.
Support development of frameworks that enable banking clients to participate in AI-mediated customer journeys.
Digital Experience & Discoverability
Lead initiatives that improve how products are surfaced and engaged across digital and AI-enabled environments.
Identify opportunities to improve product discoverability across search, conversational interfaces, and digital ecosystems.
Partner with content and UX teams to structure experiences for both customer engagement and machine interpretation.
Support optimization of product pages, journeys, and digital experiences to improve visibility and conversion.
Machine-Readable Commerce Architecture
Architect schema and structured frameworks aligned to AI retrieval and reasoning models.
Ensure product, pricing, availability, policy, and review data are machine-consumable and consistently exposed.
Design entity-layer clarity that reduces ambiguity for LLM interpretation.
Agent Communication & Execution Readiness
Define standards for Agent Communication Protocols (ACP) and API readiness.
Partner with engineering to expose endpoints that support AI agent interaction.
Ensure feeds support real-time decisioning (inventory, pricing, shipping logic).
Build scalable frameworks for AI-assisted transactions.
Retrieval & Indexation Optimization
Optimize structured data for RAG (Retrieval-Augmented Generation) environments.
Collaborate with GEO and content teams to ensure alignment between semantic layer and markup layer.
Reduce friction between presentation layer and structured layer.
Monitoring & Technical Governance
Implement structured data QA and monitoring frameworks.
Identify gaps impacting citation eligibility or recommendation logic.
Establish governance standards for structured updates across markets.
Security, Trust & Compliance
Ensure APIs and structured outputs align with privacy, compliance, and brand safety requirements.
Partner with legal and security teams to assess risk exposure in agentic integrations.
Data & AI Readiness
Support structuring of product and customer data for analytics, personalization, and AI use cases.
Identify opportunities where data can enhance decision-making, recommendations, and customer experiences.
Collaborate with data teams to improve data accessibility across digital channels.
Client Collaboration & Workstream Leadership
Lead workstreams within broader transformation programs and manage day-to-day client interactions.
Serve as a key point of contact for client teams on assigned workstreams.
Lead workshops and working sessions to gather requirements and align on solutions.
Manage consultants and analysts supporting project delivery.
Ensure high-quality delivery across all assigned initiatives.