Business Process Excellence Specialist

Requirements

• Education
• Bachelor's or Master's degree in Engineering, Manufacturing, Industrial Engineering, Information Systems, Biomedical Engineering or a comparable field.
• Educational background or exposure related to optics, lens technology, precision manufacturing, or industrial production is an advantage.
• Additional qualifications in Operations Management, Digital Manufacturing, Business Process Management, Project Management, Data & Analytics, AI fundamentals are beneficial.
• Work Experience
• 3-5 years of professional experience in manufacturing operations, digital manufacturing solutions, operations excellence, or process transformation.
• Practical experience or exposure to lens production / optical or precision manufacturing environments is an advantage.
• Experience in a Business Process Owner, Product Owner, Business Analyst, or similar role, preferably in a global or multi‑site context.
• Hands‑on exposure to manufacturing or operations IT platforms (e.g., MES, MOM, quality, traceability, or analytics solutions).
• Experience collaborating with cross‑functional and international stakeholders, including operations, quality, and IT teams.
• Specific Knowledge/Skills
• Solid knowledge of manufacturing and shop‑floor execution principles.
• Strong understanding of lens production processes and end‑to‑end manufacturing workflows is preferred.
• Proven ability to define, prioritize, and structure business requirements and roadmaps based on business impact
• Strong capability to identify real business needs and pain points behind stakeholder requests, challenge assumptions constructively, and translate them into value-oriented requirements.
• Capability to translate production requirements into clear, implementable functional and technical requirements.
• Foundational knowledge of data, analytics, and AI concepts, including: Power BI - understanding dashboards, KPIs, and data models
• SQL - basic querying and data validation
• Python - basic data analysis and logic understanding
• AI / Machine Learning fundamentals - understanding use cases such as predictive quality, anomaly detection, process optimization, and decision support
• Understanding of change management, user adoption, and training concepts in a production environment.
• Strong analytical, communication, and decision‑preparation skills, including inputs for management and governance forums.
• High level of business acumen and value‑oriented thinking (cost, quality, time, strategic targets).
• Fluent English communication skills (spoken and written).
• Your ZEISS Recruiting Team:
• Itishree Pani

Benefits

Additional Information

ZEISS in India ZEISS in India is headquartered in Bengaluru and present in the fields of Industrial Quality Solutions, Research Microscopy Solutions, Medical Technology, Vision Care and Sports & Cine Optics. ZEISS India has 3 production facilities, R&D center, Global IT services and about 40 Sales & Service offices in almost all Tier I and Tier II cities in India. With 2200+ employees and continued investments over 25 years in India, ZEISS' success story in India is continuing at a rapid pace. Further information at ZEISS India . Provide end‑to‑end business ownership for digital products and platforms to ensure alignment with operational strategy and business objectives. Drive standardization and harmonization of manufacturing processes, with deep awareness of lens production and optical manufacturing operations, across plants and regions. Act as the central business interface between operations, governance bodies, and technical implementation teams. Understand and balance the needs, pain points, and expectations of different stakeholder groups by priotizing based on measurable business impact to become more data-driven Support sustainable, scalable, and compliant manufacturing operations, leveraging data‑driven and AI‑enabled solutions where relevant.

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