Agentic Commerce Senior Manager | Life Sciences

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Overview

We are seeking a Senior Manager to help lead the delivery of agentic commerce and digital ecosystem transformation programs for Life Sciences clients. This role sits directly below the Managing Director / Partner and will be responsible for translating strategic vision into actionable programs that modernize how our clients structure, distribute, and optimize technology products across digital platforms and emerging AI-driven ecosystems. As customer journeys evolve beyond traditional websites and apps toward AI-mediated discovery, conversational interfaces, and intelligent agents, organizations must modernize their platforms, product data, content ecosystems, and integration architectures. This Senior Manager will play a critical role in helping clients operationalize these changes by leading key workstreams across platform architecture, digital discoverability, content ecosystems, and AI-ready data infrastructure. You will lead multidisciplinary teams across strategy, technology, and experience disciplines to deliver scalable solutions that enable our clients to surface products across digital channels, partner ecosystems, and intelligent agent environments. The ideal candidate combines Life Sciences industry expertise, digital platform strategy, and strong program leadership with an understanding of how emerging AI technologies are reshaping customer experiences.

Job Responsibilities

Platform & Ecosystem Strategy Delivery

• Lead major workstreams that modernize how products and services are distributed across digital platforms and partner ecosystems.
• Design and implement strategies that connect customer platforms with partners, marketplaces, and digital ecosystems.
• Define integration approaches using APIs, service layers, and product data feeds to support scalable product distribution.
• Lead solution development for platform modernization initiatives supporting future digital experiences.
• Translate strategic client objectives into executable architecture, delivery plans, and implementation roadmaps.

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 Engagement & Program Leadership

• Serve as a key client-facing leader responsible for delivering complex transformation programs.
• Manage multi-disciplinary teams across strategy, technology, design, and analytics.
• Lead client workshops, working sessions, and executive updates.
• Translate complex technical and strategic concepts into clear recommendations for senior client stakeholders.
• Ensure delivery excellence across large transformation engagements.

Innovation & Capability Development

• Help shape the evolution of Accenture’s capabilities at the intersection of Life Sciences, AI, and digital ecosystems.
• Identify emerging technologies and trends impacting customer experiences and distribution models.
• Contribute to internal thought leadership on digital transformation and agentic commerce.
• Collaborate across Accenture Song, Technology, and Strategy teams to develop new capabilities and offerings.

Basic Qualification:

• 10+ years of experience in consulting, digital strategy, or technology strategy within Life Sciences organizations; experience must include:
• Experience working on digital transformation, customer experience, or platform-related initiatives
• Strong understanding of digital platforms, partner ecosystems, and API-based integrations.
• Experience with AI-driven customer experiences, conversational interfaces, or emerging digital ecosystem trends
• Understanding of digital marketing, content strategy, or product experience optimization
• Experience collaborating with engineering leadership to prioritize AI-readiness initiatives on technical roadmaps
• Proven ability to lead complex programs and manage cross-functional teams

Preferred Qualifications:

• Bachelor’s degree in Business, Computer Science, Engineering, or a related field.
• Proven ability to lead complex programs and manage cross-functional teams.
• Excellent communication and stakeholder management skills with the ability to influence senior client leaders.
• Experience developing strategic roadmaps and translating them into actionable delivery plans.
• Passion for innovation and shaping the future of Life Sciences.
• Comfortable with travel.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 11/20/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: [U.S. Employee Benefits | Accenture](#) Role Location Annual Salary Range California $132,500 to $338,300 Colorado $132,500 to $292,200 Connecticut $132,500 to $292,200 District of Columbia $141,100 to $311,200 Illinois $122,700 to $292,200 Maine $112,900 to $249,000 Maryland $132,500 to $292,200 Massachusetts $132,500 to $311,200 Minnesota $132,500 to $292,200 New York $122,700 to $338,300 New Jersey $141,100 to $338,300 Ohio $122,700 to $270,600 Virginia $122,700 to $311,200 Washington $141,100 to $311,200

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