Job Description

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: Bosch Limited - the flagship company of the Bosch Group in India - Bosch Chassis Systems India Private Limited, Bosch Rexroth (India) Private Limited, Bosch Global Software Technologies, Bosch Automotive Electronics India Private Limited, Bosch Electrical Drives India Private Limited, BSH Home Appliances Private Limited, ETAS Automotive India Private Limited, Robert Bosch Automotive Steering Private Limited, Automobility Services and Solutions Private Limited, Newtech Filter India Private Limited and Mivin Engg.Technologies Private Limited. In India, Bosch set-up its manufacturing operation in 1951, which has grown over the years to include 16 manufacturing sites, and seven development and application centers. The Bosch Group in India employs over 30,500 associates and generated consolidated sales of about Rs. 26,827 crores (3.1 billion euros) in fiscal year 2021-22 of which Rs. 24,406 crores (2.8 billion euros) are from consolidated sales to third parties. Bosch Limited is the flagship company of the Bosch Group. It earned revenue of over Rs. 11,782 crores (1.39 billion euros) in fiscal year 2021-22.

Additional information can be accessed at www.bosch.in

Coordinate and lead the Q4.0/Data Driven Quality initiative across RO-IN entities in India, encompassing the entire source-make-deliver loop Develop and implement transformational competency programmes to coach and enable identified enthusiasts in maximizing predictive and preventive quality use cases Drive the reduction of defect costs through the implementation of early warning systems, re-work agents, and data-driven problem-solving methodologies Formulate, roll out, and continuously refine the central Q4.0 strategy, ensuring alignment with global, GB, and plant strategies Standardize, scale, and sustain global and regional use cases across entities, with a focus on Connected Applications in Quality (CAQ) and Data Driven Problem Solving (DDPS) Innovate and develop scalable Q4.0 solutions tailored for the India region, considering local market needs and technological advancements Promote and oversee the adoption and scaling of standardized Q4.0 solutions, including 8D-AI, Ask Bosch/GenAI agents, and other emerging technologies (Agentic AIs) Collaborate with OEM customers and internal customer teams to drive data-driven customer quality projects, enhancing overall customer satisfaction Contribute as a co-lead for the Quality pillar of VCS.Nxt Agile drive, ensuring integration of Q4.0 principles into broader organizational strategies Establish and maintain key performance indicators (KPIs) to measure the success and impact of Q4.0 initiatives across the region Conduct regular audits and assessments of Q4.0 implementations to identify areas for improvement and ensure consistent application of best practices Facilitate cross-functional collaboration between Quality, Manufacturing, R&D, and IT teams to drive holistic improvements in quality processes Represent region India in global Q4.0 forums and conferences, sharing best practices and learnings from regional implementations Develop and manage budgets for Q4.0 initiatives, ensuring optimal resource allocation and return on investment Stay abreast of emerging trends and technologies in quality management and data analytics, incorporating relevant advancements into the Q4.0 strategy

Qualifications

A. Core Competencies & Qualifications

Expertise in Quality Management, Problem-Solving Frameworks, and Statistical Process Control (SPC) Strong skills in Data Analytics, including statistical analysis, data manipulation, and visualization Proficiency in programming languages such as SQL and Python In-depth knowledge of manufacturing processes and quality data sources

B. Advanced AI & Machine Learning Skills

Experience with machine learning (ML) techniques, including model selection, training, and evaluation Familiarity with specialized AI techniques for quality, such as anomaly detection and predictive analytics Understanding of MLOps and model deployment considerations

C. Emerging AI & Future-Oriented Skills

Knowledge of Generative AI applications (LLM, AI Agents) for application in quality management Awareness of Edge AI and IoT integration in manufacturing

D. Soft Skills & Cross-Functional Capabilities

Excellent communication and collaboration skills, including stakeholder management Strong problem-solving and critical thinking abilities Proactive learning mindset and adaptability to new technologies and methodologies

Additional Information

Willingness to travel to Plants/Customers/Suppliers (atleast 30% of work time)


Willingness to move to Bengaluru


Good Knowledge on Data Science and AI is mandatory, Domain knowledge of Quality is optional but preferrable