Assistant Manager - Project Management in Industrialization

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.

Project management: Implement SE-Agile methodology for New projects, administer collaboration with SE(Simultaneous Engineering) team & monitor KPI's w.r.t Resource, Time, Specification, Cost & Budget to realize project key deliverables. Localization projects completed as per project premises Lead time for localization project realization

Process management: Plan and monitor Project management documentation as per PS Process Compass. Plan and formulate capital equipment (MAE) acquisition and installation, including pre acceptance/final acceptance/safe launch & administer handover of project for Series manufacturing along with defined communication matrix. Operational excellence in 8 weeks : Overall Equipment Efficiency > 80%, Internal Defect Cost<1 % and '0' customer incidents

Team management: Establish RASIC of SE team, improve collaboration with IPN (International Production Network ) & provide Guidance & monitor in Industrialization phase and enhance competence through a training plan for SE team members. Simultaneous Engineering (SE) maturity value of SE team

Digitalization: Promote and implement digital transformation in all industrialization projects. Number of Digitalization projects implemented (No of solutions to improve processess, Saved Man-hrs, feedback from stakeholders)

Knowledge : 

• Proficient in manufacturing process knowledge base with core, key and standard processes
• Proficient knowledge in problems solving tools
• Advanced Knowledge on Financial management & Digitalisation tools are preferred
• Advanced knowledge about PFMEA,Process capability,8D for problem solving , etc.

Functional Skills: 

• Advanced knowledge in Project management tools & techniques
• Competent in Risk evaluation & deriving mitigation plans
• Competent in formal & informal communication structures to understand team perspectives & drive excellent results
• Competent to manage multiple tasks
• Working knowledge in managing projects using SE agile scrum approach / methods

• BE (Mech, Industrial Engineering, Automotive or Mechatronics)
• PMP Certification/Agile Scrum Master (Desirable)

Experience: 

• Preferably 5+ years of experience in automotive manufacturing systems and project coordination
• Minimum 3 years of hands on experience in manufacturing process in term of Project coordination,
• Change management, Supplier coordination in terms of budget and timing
• Strong dedication, interest, and motivation to proactively drive new and improvement topic

• Basics know how of various controllers
• Knowledge on Machine, Process capability and SPC.
• Experience in Assembly processes (e.g Screwing, Pressing, Crimping, measurement systems, Ultrasonic welding, Leakage testing ( Pneumatic and Hydraulic), LASER welding, Camera vision systems, Injection molding etc..)
• Knowledge & experience in I 4.0 concepts
• Basic knowledge of various problem solving tools like 8D , PSS , Shianin ,Six sigma, DOE,etc.
• Low cost automation
• Basics  knowledge  of SAP
• Machine commissioning
• Data analytics skills ( MES, MAS, Tableau, Power BI, Python)
• Camera Vision software programming (Cognex, Keyance, Neurocheck, Omron, AI based vision system)
• Well know how of Hydraulic and Pneumatic system
• Hands on skills for fine machine component alignment
• POKA YOKE identification and implementation to eliminate customer complaints
• Know how about Industrial Engineering ( MTM, Ergo checks)