Created at: April 01, 2026 00:05
Company: Accenture
Location: Raleigh, NC, 27561
Job Description:
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
communications, media, and technology organizations
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 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, an
d technology 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.