Strategy & Consulting - Global Network - Industry X - Production & Operations / Digital Manufacturing – Senior Manager
Practice
Strategy & Consulting – Industry X
Area
Production & Operations
Level
Senior Manager
Location
Mexico City/Monterrey (hybrid/remote depending on project)
Years of Experience
12+ years (manufacturing operations + transformation/digital)
Travel
~50% depending on client needs
Role Summary
Lead Manufacturing Operations and Digital Manufacturing transformations (line improvement, productivity, quality, maintenance, and shop-floor digitization) by combining process excellence, technology, and analytics to deliver ROI. You will shape initiatives, build business cases, and lead delivery teams executing IT/OT programs across MES/SCADA/PLC/ERP ecosystems, driving measurable operational outcomes and sustainable adoption.
Key Responsibilities
Operations Transformation & Delivery
- Lead shop-floor improvement and digitalization workstreams: improve OEE, scrap, yield, throughput, lead time, safety, and compliance.
- Run Industry 4.0 maturity assessments and support roadmap definition; prioritize use cases based on value/ROI (traceability, quality analytics, digital work instructions, predictive maintenance).
- Support IT/OT architecture design integrating plant systems, MES, ERP, and data platforms; coordinate with cybersecurity and industrial networking teams.
- Coordinate automation and industrial connectivity (e.g., OPC UA, Profinet, Modbus, Ethernet/IP) to enable reliable data capture and visibility.
Business Case & Value Realization
- Build business cases and value models for improvement/automation initiatives; track benefits realization.
- Define KPI frameworks and dashboards for performance management and operational reporting.
- Partner with operations, quality, maintenance, supply chain and IT/OT to ensure adoption and change management.
Proposals & Growth
- Support origination and proposal development (assessment → roadmap → implementation) for manufacturing clients.
- Present value propositions and results to senior stakeholders; support scope and sequencing discussions.
- Develop relationships with plant leaders, operations, quality, maintenance, and IT/OT leadership.
People Leadership & Practice Building
- Lead multidisciplinary teams (operations, automation, data/AI, SAP/MES); coach and develop team members.
- Contribute assets and accelerators in digital manufacturing, connectivity, analytics, and continuous improvement.
Qualifications
- Bachelor’s degree in Engineering (Industrial, Mechatronics, Electrical/Electronics, Mechanical, or related).
- Experience leading operations improvements and/or digital programs in manufacturing plants (MES/SCADA/ERP) and line improvement initiatives.
- Understanding of manufacturing processes (discrete and/or process) and operational metrics; ability to quantify ROI and value levers.
- Exposure to IT/OT environments, ISA-95 principles, and shop-floor data integration practices.
- Leadership, communication, facilitation, and stakeholder management skills.
- Fluent English.
Preferred Qualifications
- Automation/PLC exposure and industrial connectivity experience.
- Experience with SAP (PP/QM/MM/EWM/PM) and/or leading MES platforms; integration with analytics/data platforms.
- Lean/Six Sigma, APICS, Agile, or other relevant certifications.
- Experience with multi-site programs and vendor management.
Core Competencies
Domain & Functional Expertise
- Operational excellence, Industry 4.0, IT/OT integration, MES/SCADA, and operations analytics.
- Use-case design, ROI-based prioritization, and initiative portfolio management for plants.
Leadership & Delivery
- Workstream execution and coordination across operations, engineering, IT, quality, and maintenance.
- Change management to sustain operational improvements and adoption of digital tools.
Presence
- Public speaking, executive presentations, workshop Facilitation and storytelling.
- Relationship-building and negotiation with senior stakeholders.
Accenture is an equal opportunity employer.
Mexico City
平等就业机会声明
所有聘用决定均不考虑年龄、种族、信仰、肤色、宗教、性别、国籍、血统、残疾状况、退伍军人身份、性取向、性别认同或表达、基因信息、婚姻状况、公民身份或任何其他受联邦、州或地方法律保护的因素。
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