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Accenture

Advises businesses and runs their technology

Agentic Commerce Senior Manager - Industrial

Strategy & Management ConsultingUpdated on Nov 11
Full-timeChicago, IL, USA

About the Job

Requirements

  • At least 10 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-related 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 application programming interface-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.

Responsibilities

  • Lead major workstreams mapping how industrial buyers, fleet operators, dealers, and procurement teams navigate agent-influenced journeys across discovery, total cost of ownership comparison, specification evaluation, requests for quotation, purchase, service, and renewal.
  • Identify where agent mediation creates friction, risk, or competitive advantage, and redesign journeys, propositions, and operating models around emerging behavior.
  • Translate agentic commerce trends into industrial use cases, go-to-market plays, investment priorities, commercial value cases, and executable transformation roadmaps.
  • Advise senior client leaders on competing across direct, dealer, distributor, marketplace, and procurement ecosystems as buying decisions become increasingly AI-mediated.
  • Lead initiatives to improve how industrial products, aftermarket services, and commercial propositions are discovered, interpreted, compared, and engaged across digital and AI-enabled environments.
  • Define strategies to improve discoverability across search, conversational interfaces, procurement platforms, partner ecosystems, and industrial marketplaces.
  • Guide content, user experience, 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 strengthen visibility, trust, and conversion.
  • Define commercial and technical strategy for agent access to real-time pricing, availability, lead times, delivery commitments, service coverage, and contract terms.
  • Position agent readiness as a competitive requirement 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.
  • Establish structured data quality, monitoring, and governance frameworks across product, parts, service, pricing, contract, and dealer information.
  • Identify gaps 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 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.
  • Identify where improved data can strengthen decision-making, total cost of ownership 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.
  • 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 aligning 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, and Analysts and contribute to a high-performing, inclusive team environment.
  • Help shape company capabilities at the intersection of Industrials, B2B commerce, AI, and digital ecosystems.
  • Identify emerging 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 Song, Technology, Strategy, and industry teams to develop differentiated offerings and support business development.

Desired Qualifications

  • A bachelor's degree in Business, Marketing, Computer Science, Engineering, Supply Chain, Industrial Management, or a related field.
  • Experience supporting business development, proposal development, or capability building in a consulting environment.
  • Travel availability.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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