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Digital Manufacturing and Operations Manager
Buenos Aires
Job No. r00195289
Full-time
Descripción De La Posición
Bring your best skills forward to excel in the role:
- Prior experience in manufacturing and supply chain in areas of operational excellence, digital and analytical used cases, Industry 4.0
- Good understanding of IT-OT architecture including overall ISA 95, data lakes, plant automation, plant network, security protocols and industry standards
- Bring your industry experience
- Experience of working in any of the following industries – preferred: Mining, Metals, Lifesciences, Consumer Goods & Services (CG&S); desirable - Automotive, Industrial Equipment, Chemicals and deep understanding of detailed business processes, concepts of manufacturing IT and impact of digital on manufacturing
- Be adept at collaborating in a multi-stakeholder environment handling complex digital projects engagements, preferably in a global network
- Leadership skills along with strong communication, problem solving, organizational and delegation skills to nurture and inspire team members
- Excellent customer facing capabilities, client relationships & an established track record for selling and delivering high-quality engagements.
Responsibilities
- Project Delivery:
- Leading/working closely with business and client stakeholders to understand client pain points, diagnose problem areas, design solutions, and facilitate deployment.
- Strong analytical and problem-solving skill with demonstrated commitment to quality client service
- Sales & Business Development:
- Responsible for driving Industry X sales by organizing and leading proposal teams, participating and leading end-to-end proposal development process and client pitch.
- Practice Development:
- Reimagine, build, and transform client business and operations by developing cutting edge assets, tool and methodologies, development of PoVs, research, white papers, support development of Go-to-market offerings.
- People Development:
- Act as credible subject matter advisor to client teams, project managers and delivery teams and guide them achieving delivery excellence.
- Manage and mentor talented teams of consultants and technologists supporting, providing input and guidance into the talent strategy and actively participate in engagement, capability development activities.
Requisitos
Mandatory
- MBA from Tier-1 Business school
- Graduation in Engineering/Tech from a Tier-1 institute
- 10+ years of industry / consulting experience with 5+ years of proven experience in leading large-scale digital manufacturing strategy & implementation projects in: preferred: Mining, Metals, Lifesciences, Consumer Goods & Services (CG&S); desirable - Automotive, Industrial Equipment, Med-Tech, Hi-Tech, Chemical companies (any one of these)
- Strong functional knowledge of consumer manufacturing value chain with ability to identify and quantify business cases impacting the P&L and/or balance sheet for manufacturing plus supply chain use cases
- Good understanding of IT-OT architecture including overall ISA 95, data lakes, plant automation, plant network, security protocols and industry standards
- Knowledge of MOM/MES and WMS/WCS Platforms, DCSs / SCADAs / PLCs, Historians, SAP PP and SAP EWM, Werum PAS-X
- Delivered technology guidance, provided support on POC’s (Proof-of-Concepts), performed enterprise portfolio assessments, industry best practices review and technology leadership workshops.
Not mandatory experience is a plus
- Knowledge of APS, APM, LIMS and QMS Systems
- Hands on experience in Industry 4.0 technologies: Internet of Things, AR/VR, Edge Analytics, Blockchain, Manufacturing Control Tower, AGVs, 3D Printing, Computer vision, APS, Robotics, etc.
- Certifications of Lean Six Sigma Black Belt, APICS CSCP, IOT Platform, Advance analytics, Agile certification will be an added advantage
- End to End experience of implementing smart manufacturing solution on IOT Platforms like (Microsoft Azure, AWS, SAP Leonardo, PTC etc.) is preferred
- Experience with Advance analytics is considered as a plus