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Director - AI Practice Lead

Job in Trenton, Mercer County, New Jersey, 08628, USA
Listing for: Wipro
Full Time position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer (Applied/Software), Data Science Manager, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

Role Overview

Wipro is seeking an experienced Industry 4.0 Consulting Leader to drive integrated digital transformation programs across manufacturing clients. This role will lead strategy consulting, solutioning, and large-scale execution across PLM-led Digital Thread & Product Lifecycle transformation;
Connected Enterprise (OT + IoT); and Industrial AI / Data-driven smart manufacturing. The leader will combine domain depth, consulting skills, and technology expertise to deliver measurable outcomes such as productivity improvement, cost optimisation, and accelerated innovation.

Key Responsibilities
  • Client Advisory & Transformation Leadership
    • Engage CXOs (COO, CIO, CTO, Chief Digital/Engineering leaders) to define Industry 4.0 vision and roadmap.
    • Lead digital maturity assessments and value discovery workshops.
    • Shape enterprise-wide transformation programs spanning shopfloor to enterprise systems.
    • Build ROI-led business cases and investment strategies.
  • Integrated Solutioning (Industry DOT + PLM + AI)
    • Define end-to-end architecture and digital thread, integrating: PLM to ERP to Manufacturing to Aftermarket lifecycle; disconnected OT systems to Connected Enterprise (IoT / Edge / MES); data platforms to Industrial AI / GenAI enablement.
    • Design solutions across smart factory, predictive maintenance, quality analytics, digital twins, asset intelligence, and engineering transformation.
    • Ensure IT/OT convergence and interoperability.
  • Practice Development & Go-To-Market
    • Shape and position Wipro’s Industry 4.0 integrated offerings (Industry DOT + PLM + AI) across global clients.
    • Support deal shaping, proposals, and large transformation pursuits.
    • Build reusable assets, accelerators, and consulting frameworks.
    • Strengthen partnerships with OEMs, ISVs, hyperscalers, and ecosystem partners.
    • Work closely with ISVs to define and architect next-generation Interoperability solutions.
  • Leadership & Capability Building
    • Build and mentor high-performing consulting and delivery teams.
    • Drive consulting-led selling, solution convergence across practices including product development initiatives.
    • Establish governance models, KPIs, and transformation tracking.
    • Foster innovation and Industrial AI adoption across engagements.
  • Skills & Competencies
    • Domain Expertise
      • Deep understanding of manufacturing, engineering, and supply chain processes.
      • Strong experience in PLM, digital manufacturing, and Industry 4.0 use cases.
    • Technology Expertise
      • OT & IoT: SCADA, PLC, Edge, Industrial IoT platforms.
      • Enterprise systems: PLM, MES, ERP (SAP/Oracle).
      • Digital technologies:
        Cloud, data platforms, AI/ML, digital twin.
      • Strong grounding in IT/OT convergence and smart factory architectures.
    • Consulting & Leadership
      • Strategic thinking and structured problem solving.
      • Executive stakeholder management (CXO engagement).
      • Business case and value articulation.
      • Program, portfolio, and change management.
    Experience & Qualifications
    • 15–20+ years in Industry 4.0, Digital Manufacturing, or Engineering Consulting.
    • Proven experience leading large, multi-country transformation programs.
    • Experience across PLM, IoT/OT, and AI convergence initiatives.
    • Bachelor’s or Master’s in Engineering; MBA preferred.
    • Preferred location: NJ, US.
    Success Metrics
    • Growth in Industry 4.0 consulting revenue and large deal wins.
    • Measurable client outcomes (efficiency, cost, quality, innovation speed).
    • Adoption of Industry DOT, PLM-led digital thread, and Industrial AI solutions.
    • Client satisfaction and strategic account growth.
    • Team capability building and leadership impact.

    Compensation: $ to $. Final compensation will depend on factors such as geographic location, minimum wage obligations, skills, and relevant experience.

    Applicants are advised that employment in this role may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

    Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

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