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Principal Cognitive Manufacturing, Infosys Consulting

Infosys


Job Location:

Chicago, IL - USA

Yearly Salary: USD 154500 - 193125
Posted: 22 August 2026 (17 days ago)
Application Deadline: 1 December 2026
Vacancies: 1 Vacancy

Job Summary

Principal Cognitive Manufacturing
Manufacturing Infosys Consulting Cognitive Manufacturing Service Offering
Principal Cognitive Manufacturing
Infosys Consulting the management and technology consulting unit of Infosys Ltd is seeking an experienced Principal to join its Manufacturing consulting practice and help grow its Cognitive Manufacturing service offering. This is an opportunity for a senior consulting leader to work with leading manufacturing companies as they modernize operations improve business performance and apply advanced digital data and AI capabilities across the manufacturing value chain. The ideal candidate brings 12 or more years of experience in manufacturing consulting or business transformation with strong knowledge of industries such as Automotive Aerospace Defense Industrial Products or other complex manufacturing environments. Successful candidates will understand manufacturing distribution and supply chain processes across discrete continuous batch make-to-stock make-to-order and engineer-to-order operating models. They will be comfortable advising senior clients using Industry 4.0 maturity models and transformation frameworks while helping clients progress toward Cognitive Manufacturing capabilities enabled by AI/ML GenAI IoT digital thread smart factory connected operations manufacturing data foundations and related technologies.
About the Role
As a Principal you will lead client engagements that help manufacturing companies define and execute transformation strategies. You will work directly with senior business and technology leaders to shape roadmaps build business cases guide delivery teams and create measurable outcomes across areas such as factory modernization quality supply chain product industrialization digital thread AI-enabled operations and service performance. You will also play an important role in growing the practice by mentoring teams contributing to thought leadership supporting business development and helping bring new Cognitive Manufacturing offerings to market.
Manufacturing Strategy & Design
  • Develop manufacturing transformation strategies and implementation roadmaps that help clients improve throughput quality cost sustainability resilience and speed.
  • Apply Industry 4.0 maturity and capability frameworks to assess client readiness across strategy process operating model smart factory IT/OT integration data analytics AI digital thread workforce adoption and governance and translate findings into actionable transformation roadmaps.
  • Lead assessments across the manufacturing value chain including NPI product industrialization parts reuse engineering change BOM synchronization production planning factory execution quality maintenance supplier collaboration logistics and service feedback.
  • Help clients redesign manufacturing supply chain and distribution processes to improve agility transparency traceability and decision-making.
  • Identify opportunities to apply digital data and AI capabilities to business priorities such as OEE first-pass yield scrap reduction downtime engineering productivity inventory working capital launch performance and service quality.
  • Lead executive workshops and working sessions to align stakeholders on business priorities future-state capabilities and transformation roadmaps.
  • Link Cognitive Manufacturing capabilities digital thread manufacturing data foundations AI/ML GenAI IoT and smart factory technologies to practical business cases and measurable outcomes.
Cognitive Manufacturing Focus
  • Advise clients on how to connect product innovation engineering manufacturing quality supply chain distribution and service into a more intelligent and closed-loop manufacturing value chain.
  • Shape AI-enabled operating models and decision-support capabilities across plant network and enterprise levels.
  • Help clients prioritize practical use cases in areas such as predictive quality predictive maintenance production optimization AI-assisted scheduling engineering change impact analysis parts reuse operator assistance and manufacturing performance intelligence.
  • Guide clients from pilots and point solutions toward scalable Cognitive Manufacturing capabilities that can be adopted across plants functions and business units.
  • Define value realization approaches that help clients track benefits across productivity quality cost downtime cycle time working capital launch performance sustainability and service outcomes.
  • Work with business IT OT data and technology teams to align process data system governance and change management needs.
Consulting Delivery
  • Lead the design and delivery of consulting engagements either as standalone projects or as part of larger transformation programs.
  • Own engagement quality scope budget staffing delivery risk governance executive communication and client satisfaction.
  • Advise clients using industry best practices manufacturing domain expertise and practical experience with digital and AI-enabled transformation.
  • Lead teams of consultants technology professionals and subject matter experts to develop strategies roadmaps business cases and implementation recommendations.
  • Work closely with clients to understand their needs define long-term goals and develop solutions that are practical measurable and achievable.
  • Coordinate with business IT OT data AI cloud PLM MES ERP QMS and vendor teams to translate business priorities into actionable initiatives.
  • Serve as a trusted liaison between client leaders delivery teams technology groups and other stakeholders throughout the transformation journey.
Practice Development
  • Contribute to the growth of the Manufacturing consulting practice and the Cognitive Manufacturing service offering.
  • Develop reusable assets such as assessment tools maturity models value maps use-case libraries workshop materials roadmap templates and points of view.
  • Share insights on manufacturing trends Industry 4.0 smart factory digital thread AI in manufacturing and emerging best practices.
  • Collaborate with colleagues across consulting technology data AI cloud and industry teams to develop differentiated offerings for clients.
  • Support thought leadership through client discussions internal knowledge sharing market-facing content industry forums and innovation sessions.
  • Contribute to recruiting training onboarding mentoring and capability-building activities within the practice.
People Management
  • Coach and develop consultants senior consultants and analysts to deliver high-quality work and grow professionally.
  • Lead blended teams that may include consulting technology data AI business analysis and manufacturing subject matter experts.
  • Create a collaborative team environment with clear expectations for delivery quality client readiness problem solving and stakeholder management.
  • Provide feedback guidance and mentoring to help build future manufacturing consulting leaders.
Business Development
  • Lead small and medium-sized sales pursuits including proposal development solution shaping workplans estimates and commercial inputs.
  • Build trusted relationships with senior client leaders across manufacturing operations engineering quality supply chain IT OT and service organizations.
  • Present Infosys Consulting capabilities and Cognitive Manufacturing offerings in a clear compelling and client-relevant manner.
  • Identify follow-on opportunities by understanding client challenges and translating them into practical consulting opportunities.
  • Work with account teams practice leaders technology units and alliance partners to position differentiated solutions and expand client impact.
Basic Qualifications
  • Bachelors degree or foreign equivalent required.
  • Minimum 12 years of relevant experience in manufacturing supply chain operations engineering quality technology consulting business transformation or management consulting.
  • At least 35 years of management consulting experience at a top-tier consulting firm professional services firm or manufacturing company.
  • 57 years of experience in one or more areas such as manufacturing quality supply chain technology operations engineering distribution or service.
  • Strong understanding of manufacturing operations across discrete continuous batch make-to-stock make-to-order and engineer-to-order environments.
  • Experience defining manufacturing strategies operating models process improvements transformation roadmaps or business cases.
  • Demonstrated ability to lead complex programs in large organizations and work effectively with senior business and technology stakeholders.
  • Experience leading teams that include business consultants technology specialists data professionals or manufacturing subject matter experts.
  • Ability to translate business requirements into practical technology-enabled solutions and supporting business cases.
  • Familiarity with Industry 4.0 smart factory digital thread AI/ML GenAI IoT PLM MES ERP QMS data platforms or manufacturing analytics.
  • Excellent presentation facilitation communication and relationship-building skills including experience working with senior management and CXO-level stakeholders.
  • Ability to manage ambiguity structure executive discussions and drive alignment across business IT OT vendor and leadership stakeholders.
  • Must be willing and able to travel extensively based on client requirements.
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
  • For candidates based out of CA WA NY IL MNNJ states estimated annual compensation will be $154500 to $193125.
Preferred Qualifications
  • MBA or equivalent advanced degree.
  • Depth of knowledge in one or more manufacturing domains such as production planning production operations supply chain quality sourcing distribution NPI product industrialization parts reuse BOM management maintenance or service.
  • Experience leading stakeholder-intensive transformation programs from strategy through execution.
  • Proven ability to deliver high-quality work under tight deadlines and challenging constraints.
  • Ability to collaborate across consulting technology data AI cloud engineering and industry teams.
  • Working knowledge of Agile methodologies and iterative delivery approaches.
  • Demonstrated thought leadership and ability to develop new service offerings market-facing points of view or reusable consulting assets.
  • Experience with Cognitive Manufacturing smart factory digital thread AI-enabled operations connected products manufacturing data foundations or enterprise transformation.
  • Familiarity with Industry 4.0 reference architectures maturity models and assessment frameworks across connected operations automation IIoT manufacturing analytics digital thread smart factory workforce adoption and governance capabilities.
  • Experience with PLM MES ERP QMS APS IIoT historian cloud data lake analytics manufacturing intelligence or AI platforms.
  • Familiarity with EBOM MBOM SBOM BOP routing work instructions APQP PPAP engineering change management product configuration or service lifecycle processes.
  • Lean Six Sigma APICS PMP Agile analytics cloud AI or product management certification is desirable.
  • Ability and willingness to work as part of a cross-cultural team including flexibility to support multiple time zones when necessary.

Benefits

Along with competitive pay as a full-time Infosys employee you are also eligible for the following benefits:

  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident Critical Illness Hospital Indemnity Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off

About Us
Infosys Consulting is a next-generation consulting partner that bridges strategy and execution. With an AI-first mindset deep industry knowledge and the combined strengths of business and technology consulting it helps enterprises turn bold vision into tangible outcomes faster smarter and at scale. Infosys Consulting is helping some of the worlds most recognizable brands transform and innovate. Our consultants are industry experts that lead complex change agendas driven by disruptive technology. With offices in 20 countries and backed by the power of the global Infosys brand our teams help the C-suite navigate todays digital landscape to win market share and create shareholder value for lasting competitive advantage.


EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.


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