IN_RBAI_Assistant manager / Deputy manager_Quality Management ( EM/QMC-IN )
- Full-time
- Legal Entity: Bosch Automotive Electronics India Private Ltd.
Company 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 with a combined strength of over 31,500 associates which includes around 15,650 research and development associates.
Bosch Automotive Electronics India Pvt. Ltd. (RBAI) is a 100% subsidiary of Robert Bosch GmbH . Established in 2009, in Naganathapura - Bengaluru, RBAI is primarily focused in manufacturing electronic products for the automotive sector. RBAI has consistently added an average of one product every year resulting in a wide range of products comprising – Engine Control Units (ECU) for both 4W and 2W, Body Control Modules (BCM), ECUs for ABS, DC-DC Converters, iTraMS (Intelligent communication control unit) to name a few. RBAI also produces products for eMobility like MCU (Motor control Unit), C-Box (Communication Box), VCUs (Vehicle Control Unit), Central gateway modules and is geared up for other futuristic products. RBAI with its diverse portfolio, not only caters to local markets, but also exports products to all major global customers. The Naganathapura Plant (NhP1) is seen as a benchmark in Operational Excellence in AE and Bosch India , using an integrated approach of Bosch Production System (BPS) and I4.0. With a young and agile team, RBAI’s mission statement ‘Be RBAI’ (Be Reliable Benchmark Agile Innovative) is a testament to our commitment in providing best in class products and services for its customers.
Job Description
Custome Management
- Execute the customer warranty protocols and reduce external defect costs.
- Monitor the customer perception and define appropriate actions for customer satisfaction.
- Evaluate and manage customer requirements post approval and implement the same through plant quality
Customer Operational Quality Management
Field failure analysis ( System level )
- Conduct system level investigation for finding the root causes for quality issues, prepare and report for 0-km & field issue & presentation to customer working level team
- Prepare data for customer Sr management meetings indicating quality status and concerns
- Report concerns / risks to supervisor (as per escalation matrix) to seek appropriate management interventions / decisions.
- Execute troubleshooting process by using appropriate diagnostic tools to analyze system level interactions to the problem
Cross Functional Teamwork
Collaborate with various plants and departments on special projects to meet business requirements and ensure customer satisfaction (reduce customer complaints & liquidate blocked inventories)
Internal Quality Standards
Ensure readiness with all internal quality audit requirements for specific customers, address the escalations & non-compliance cases and ensure its resolution
Problem Solving
Execute to resolve quality issues by using appropriate Problem-Solving tools.
Qualifications
Qualifications:
Required:
- Bachelor's degree in engineering (Mechanical, Automotive, Electrical, or Power electronics)
- 5-8 years of work experience in the automotive industry in Quality and Customer Quality functions
- Proven experience in customer warranty management and external defect cost reduction
- Strong knowledge of quality management systems and standards (e.g., ISO 9001, IATF 16949)
- Demonstrated ability in field failure analysis and root cause investigation
- Proficiency in using problem-solving tools and techniques (e.g., 8D, 5 Why, Ishikawa diagram)
- Excellent communication and presentation skills, with the ability to interact effectively with customers and cross-functional teams
- Experience with automotive diagnostic tools and system-level troubleshooting
- Knowledge of statistical and data analysis techniques