Agentic Commerce Senior Manager | Industrial

Accenture•Chicago, IL

1d•$112,900 - $338,300

About The Position

Accenture Song is seeking a Senior Manager to lead the design and delivery of agentic commerce transformation programs for industrial clients, including manufacturers, equipment OEMs, distributors, and industrial services organizations. The role focuses on helping clients adapt to customer engagement shaped by AI-powered agents, conversational interfaces, and intelligent systems across product discovery, evaluation, specification, and transactions. The Senior Manager will turn strategic vision into commercial value cases, actionable programs, and implementation roadmaps. This includes modernizing product specifications and content, pricing logic, aftermarket services, channel relationships, platforms, and data so they work in AI-driven and ecosystem-based environments. The role is a senior client-facing position leading multidisciplinary teams across strategy, digital experience, content, platform integration, data, sales, and account teams. It will help clients improve how their offerings appear across search, AI interfaces, procurement workflows, dealer ecosystems, and partner platforms, while building the operating and technical readiness needed for scalable agent interaction. Accenture is a global professional services company with approximately 791,000 people serving clients in more than 120 countries. The company describes its work as combining technology, industry experience, and capabilities across Strategy & Consulting, Technology, Operations, Industry X, and Song. Compensation varies by location, role, skills, and experience; the posted annual salary ranges from $112,900 to $338,300 depending on location. The posting is anticipated to remain open until October 8, 2026.

Requirements

10 or more years of experience in consulting, digital strategy, commercial strategy, or technology strategy in the Industrials industry.
Experience leading digital transformation, customer experience, commercial strategy, sales effectiveness, product experience, or platform initiatives.
Strong understanding of complex B2B buying journeys, industrial channels, dealer or distributor ecosystems, and aftermarket services.
Experience with AI-driven customer experiences, conversational interfaces, emerging digital ecosystem trends, or machine-readable content and data structures.
Understanding of digital marketing, content strategy, product information management, commerce platforms, product experience optimization, or API-based integrations.
Experience collaborating with engineering, product, data, or platform leadership to prioritize AI-readiness initiatives on technical roadmaps.
Proven ability to lead complex programs, manage cross-functional teams, and influence senior client stakeholders.
Experience developing strategic roadmaps and translating them into actionable delivery plans and measurable business outcomes.
Applicants for US employment must have work authorization that does not now or in the future require visa sponsorship.

Nice To Haves

Bachelor’s degree in Business, Marketing, Computer Science, Engineering, Supply Chain, Industrial Management, or a related field.
Strong problem-solving, analytical, and commercial judgment.
Excellent executive communication, presentation, and stakeholder management skills.
Ability to translate complex concepts into clear, actionable recommendations for commercial, technical, and executive stakeholders.
Experience supporting business development, proposal development, or capability building in a consulting environment.
Interest in innovation and the future of industrial customer engagement, B2B commerce, and AI-mediated buying journeys.
Comfort with travel.

Responsibilities

Lead workstreams mapping agent-influenced industrial buyer journeys, from discovery and comparison through specification, RFQ, purchase, service, and renewal.
Identify friction, risk, and competitive opportunities in agent-mediated journeys and redesign journeys, propositions, and operating models accordingly.
Turn agentic commerce trends into industrial use cases, go-to-market plays, investment priorities, commercial value cases, and transformation roadmaps.
Advise senior client leaders on competition across direct, dealer, distributor, marketplace, and procurement ecosystems.
Lead initiatives to improve discovery, interpretation, comparison, and engagement with industrial products, aftermarket services, and commercial propositions across digital and AI-enabled environments.
Define discoverability strategies for search, conversational interfaces, procurement platforms, partner ecosystems, and industrial marketplaces.
Guide content, UX, product, and platform teams in structuring experiences for human decision-makers and machine interpretation.
Oversee optimization of product pages, service journeys, specification content, and digital experiences to improve visibility, trust, and conversion.
Define commercial and technical strategies for responding to agent requests involving pricing, availability, lead times, delivery commitments, service coverage, and contract terms.
Quantify how slow, incomplete, or inconsistent commercial data affects client performance in agent-mediated evaluations.
Work with engineering, product, data, and platform leaders to define integration approaches and expose endpoints across catalog, pricing, quoting, availability, fulfillment, entitlement, and service workflows.
Lead development of scalable frameworks for AI-assisted quoting, purchasing, renewal, parts ordering, and service transactions.
Establish data quality, monitoring, and governance frameworks for product, parts, service, pricing, contract, and dealer information.
Identify gaps affecting citation eligibility, recommendations, specification matching, comparisons, or transaction reliability, and define governance standards for structured updates across business units, markets, product lines, and channel partners.
Partner with legal, security, and risk teams to align APIs, data feeds, and agent interactions with privacy, compliance, brand safety, and responsible AI requirements.
Lead efforts to structure product, customer, service, dealer, and transaction data for analytics, personalization, recommendations, and AI use cases.
Collaborate with data and technology leaders to improve commercial data accessibility, quality, interoperability, and usability across digital channels and ecosystem partners.
Translate business priorities into data and AI-readiness requirements for technical roadmaps.
Lead complex agentic commerce and digital ecosystem transformation programs as a senior client-facing leader, accountable for outcomes, quality, and delivery excellence.
Lead multidisciplinary teams across strategy, technology, experience, content, data, and analytics.
Lead executive workshops, working sessions, steering updates, and decision forums to align commercial, sales, digital, service, procurement, and technology stakeholders.
Explain complex technical and strategic concepts clearly to senior client leaders and align them on priorities, investments, and execution plans.
Coach Managers, Consultants, and Analysts and contribute to an inclusive, high-performing team environment.
Help develop Accenture capabilities at the intersection of Industrials, B2B commerce, AI, and digital ecosystems.
Identify technologies, market shifts, and competitive patterns affecting industrial customer engagement and distribution models.
Contribute to thought leadership, reusable methods, industry propositions, and client development activities for agentic commerce.
Collaborate across Accenture Song, Technology, Strategy, and industry teams to develop offerings and support business development.