Overview

We are seeking a Senior Manager to lead the design and delivery of agentic commerce transformation programs for industrial clients. This role will help manufacturers, equipment OEMs, distributors, and industrial services organizations adapt to a new model of customer engagement where AI-powered agents, conversational interfaces, and intelligent systems increasingly influence how products, parts, services, and solutions are discovered, evaluated, specified, and transacted.

As industrial buying journeys evolve beyond traditional sales channels, organizations must rethink how their specifications, product content, pricing logic, aftermarket services, channel relationships, platforms, and data are structured tooperatewithin AI-driven and ecosystem-based environments. This Senior Manager will translate strategic vision into actionable programs, commercial value cases, andimplementationroadmaps that modernize how industrial companies compete in agent-mediated buying journeys.

You will serve as a senior client-facing leader and lead multidisciplinary teams across strategy, digital experience, content, platform integration, data, sales, and account teams. You will help clients improve how their products, services, and commercial propositions show up across search, AI interfaces, procurement workflows, dealer ecosystems, and partner platforms, while building the operating and technical readinessrequiredfor scalable agent interaction.

The ideal candidate combines deep industrial or manufacturingexpertise, digital and commercial strategy experience, strong program leadership, and an understanding of how AI and agent-based experiences are reshaping complex B2B buying journeys.

Job Responsibilities

Agentic Commerce Strategy & Transformation Leadership

• Lead major workstreams that map how industrial buyers, fleet operators, dealers, and procurement teams navigate agent-influenced journeys across discovery, TCO comparison, specification evaluation, RFQ, purchase, service, and renewal.

• Identifywhere agent mediation creates friction, risk, or competitive advantage, and redesign journeys, propositions, and operating models around the emerging behavior rather than defending legacy channels.

• Translate emerging agentic commerce trends into industrial use cases, GTM plays, investment priorities, commercial value cases, and executable transformation roadmaps.

• Advise senior client leaders on how tocompete across direct, dealer, distributor, marketplace, and procurement ecosystems as buying decisions become increasingly AI-mediated.

Digital Experience & Discoverability

• Define strategies to improve discoverability across search, conversational interfaces, procurement platforms, partner ecosystems, and industrial marketplaces.

• Guidecontent, UX, product, and platform teams in structuring experiences for both human decision-makers and machine interpretation.

• Oversee optimization of product pages, service journeys, specification content, and digital experiences to strengthen visibility, trust, and conversion.

Agent Communication & Execution Readiness

• Define the commercial and technical strategyrequiredwhen agents expect real-time answers on pricing, availability, lead times, delivery commitments, service coverage, and contract terms.

• Position agent readiness as a competitive requirement for winning agent-mediated evaluations, not solely a data engineering task, and quantify where slow, incomplete, or inconsistent commercial data weakens client performance.

• Partner with engineering, product, data, and platform leadership to define integration approaches and expose endpoints across catalog, pricing, quote, availability, fulfillment, entitlement, and service workflows.

• Lead development of scalable frameworks for AI-assisted quoting, purchasing, renewal, parts ordering, and service transactions.

Monitoring, Trust & Technical Governance

• Establish structured data quality, monitoring, and governance frameworks across product, parts, service, pricing, contract, and dealer information.

• Identifygaps affecting citation eligibility, recommendation logic, specification matching, comparison outcomes, or transaction reliability.

• Define governance standards for structured updates across business units, markets, product lines, and channel partners.

• Partner with legal, security, and risk teams to help ensure APIs, data feeds, and agent interactions align with privacy, compliance, brand safety, and responsible AI requirements.

Data & AI Readiness

• Lead efforts to structure product, customer, service, dealer, and transaction data for analytics, personalization, recommendations, and AI use cases.

• Identifywhere improved data can strengthen decision-making, TCO comparisons, uptime recommendations, service renewal, and customer experience.

• Collaborate with data and technology leaders to improve the accessibility, quality, interoperability, and usability of commercial data across digital channels and ecosystem partners.

• Translate business priorities into clear data and AI-readiness requirements for technical roadmaps.

Client Engagement & Program Leadership

• Serve as a senior client-facing leader responsible for delivering complex agentic commerce and digital ecosystem transformation programs.

• Lead multidisciplinary teams across strategy, technology, experience, content, data, and analytics, with accountability for outcomes, quality, and delivery excellence.

• Lead executive workshops, working sessions, steering updates, and decision forums that align commercial, sales, digital, service, procurement, and technology stakeholders.

• Translate complex technical and strategic concepts into clear recommendations for senior client leaders and build alignment around priorities, investment choices, and execution plans.

• Coach Managers, Consultants, andAnalysts andcontribute to a high-performing, inclusive team environment.

Innovation & Capability Development

• Help shape Accenture capabilities at the intersection of Industrials, B2B commerce, AI, and digital ecosystems.