Principal – Cognitive Manufacturing

About the Role

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

• Bachelor’s 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 3–5 years of management consulting experience at a top-tier consulting firm, professional services firm or manufacturing company.
• 5–7 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, MN,NJ states, estimated annual compensation will be $154,500 to $193,125.
  

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 is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

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.