15h Left Cost And Value Engineering Professional

4 weeks ago

Thane, India Siemens Full time

Job Description Key Responsibilities: Cost Analysis & Optimization - Apply Cost Analysis and Optimization (CAO), Supply Chain Productivity Improvement (SPI), and Design-to-Cost (DtC) methods across the product lifecycle. - Compile feasible component costs for bottom-up target indication and cost split. - Propose alternative manufacturing scenarios and quantify potential savings for Procurement and cross-functional teams. Design to Cost & Standardization - Calculate baseline costs and update component costs according to design maturity. - Challenge requirements and propose DtC measures to R&D, product management, and procurement. - Quantify the financial impact of proposed cost-saving measures. Supply Chain Productivity Improvement (SPI) - Generate transparency in supplier processes, technologies, and costs. - Identify improvement potentials and support supplier negotiations. - Coach suppliers on lean and technology-driven supply chain optimization. Cost & Value Models - Establish and maintain cost and value models, design rules, and benchmark data. - Ensure alignment with production processes, equipment, and supplier costs. Digitalization & Automation - Identify opportunities for automation and implement solutions to improve efficiency and quality of cost analyses. - Manage CVE-related applications and dashboards for smart, rapid calculations and reporting. - Act as the primary contact for CVE software for colleagues and software providers. Collaboration & Reporting - Coordinate with internal teams (R&D, product management, Procurement) and global CVE networks. - Prepare and present management reports, dashboards, and recommendations. - Stay updated on new software solutions, AI, and machine learning applications relevant to CVE. Competencies & Skills: - Expertise in cost modeling, production technology, and supply chain optimization. - Proficient in MS Office and product cost management tools such as TCPM or TSET. - Knowledge of Python, SQL, big data analytics, and AI/ML is a plus. - Strong intercultural communication and presentation skills (English). - Ability to manage and lead cross-functional and global teams.

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