Deputy Manager - Digital Engineering - Bosch

OpenTalent; Karnataka; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Bosch Limited in India seeks a seasoned Industry 4.0 and Digital Engineering professional to lead connectivity initiatives across manufacturing and logistics, enabling smart factories and data-driven decisions.

You will deploy MES/MAS, build dashboards with Power BI/Tableau, and drive AI/ML, digital twin, and automation projects, collaborating with cross-functional teams.

Candidates should have BE/B.Tech; MBA/M.Tech preferred; 6-8 years of relevant experience.

Qualifications

• BE/B.Tech in Engineering (e.g., Mechanical, Industrial, Computer Science).
• MBA/M.Tech in related field (e.g., Supply Chain Management, Data Science, Business Analytics) preferred.
• 6-8 years of Experience in relevant role.

Responsibilities

• Implement Industry 4.0 and Connected Industry solutions across manufacturing and logistics.
• Develop machine connectivity and IIoT solutions using industrial communication technologies.
• Support MES/MAS deployment, data integration, and digital shopfloor initiatives.
• Create dashboards, reports, and analytics solutions using Power BI/Tableau.
• Drive AI/ML, predictive maintenance, condition monitoring, and automation projects.
• Develop digital engineering solutions including data modeling, simulation, and digital twin concepts.
• Collaborate with cross-functional teams to deliver smart factory and digital transformation projects.

Skills

Analytical thinking

Communication

Workshop moderation

Stakeholder management

Education

BE/B.Tech in Engineering

MBA/M.Tech in related field

Tools

Power BI

Tableau

Python

SQL

Job description

In India, Bosch is a leading supplier of technology and services in the areas of Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. Additionally, Bosch has in India the largest development center outside Germany, for end to end engineering and technology solutions. The Bosch Group operates in India through twelve companies. Bosch set-up its manufacturing operation in 1951, which has grown over the years to include 18 manufacturing sites, and seven development and application centers. Bosch Group in India employs over 31,000 associates and generated consolidated revenue of about ₨.21,450 crores* (2.66 billion euros) in 2018 of which ₨. 15,824 crores*(1.96 billion euros) from third party. The Group in India has close to 18,000 research and development associates.

In India, Bosch Limited is the flagship company of the Bosch Group. It earned revenue of over ₨. 12,460 crores (1.54 billion euros) in 2018. Additional information can be accessed at www.bosch.in.

Lead and support Industry 4.0 (i4.0), Connectivity, and Digital Engineering initiatives to enable smart manufacturing, connected value chains, and data-driven decision-making. The role involves machine connectivity, manufacturing systems integration, data analytics, automation, and digital transformation projects.

Key Responsibilities

• Implement Industry 4.0 and Connected Industry solutions across manufacturing and logistics.
• Develop machine connectivity and IIoT solutions using industrial communication technologies.
• Support MES/MAS deployment, data integration, and digital shopfloor initiatives.
• Create dashboards, reports, and analytics solutions using Power BI/Tableau.
• Drive AI/ML, predictive maintenance, condition monitoring, and automation projects.
• Develop digital engineering solutions including data modeling, simulation, and digital twin concepts.
• Collaborate with cross-functional teams to deliver smart factory and digital transformation projects.

• BE/B.Tech in Engineering (e.g., Mechanical, Industrial, Computer Science).
• MBA/M.Tech in a related field (e.g., Supply Chain Management, Data Science, Business Analytics) is preferred
• 6-8 years of Experience in relevant role

• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication, presentation, and workshop moderation skills
• Proven project management and stakeholder management abilities.

Knowledge in:

• Industry 4.0 / Smart Manufacturing
• MES, MAS, ProCon or Manufacturing Systems
• Industrial IoT (IIoT) & Machine Connectivity
• Data Analytics, Data Mining & Visualization
• Power BI / Tableau
• Python, SQL
• AI/ML and Computer Vision
• Digital Twin, Simulation & Digital Value Stream Analysis
• RPA, Automation, AR/VR (preferred)