Job Description

• Analyze complex business problems and identify opportunities for automation or process re-engineering using AI or other automated system solutions
• Ability to translate business needs into technical requirements for data analytics solutions 
• Ability to gather and document business requirements for data analytics projects 
• Guide users and stakeholders towards the most effective solution 
• Identify, evaluate, and develop systems requirements and procedures that are cost-effective and meet user requirements. 
• Support and work with legacy applications as required 
• Act as a project manager or participate in medium to large size projects, overseeing all phases from inception through post mortem 
• Plan and execute unit, integration, and acceptance testing to support IS and corporate initiatives 
• Lead cross-functional efforts to address business or systems issues 
• Assist the business unit in troubleshooting and solving business systems problems, such as ERP, PLM, CAD, and process problems.
• Provide business unit systems customer support and act as a liaison with external vendors 
• Collaborate on the preparation of training material and deliver user training. 
• Knowledge of data governance and data quality best practices 
• 5+ years of experience in collecting requirements across software engineering, artificial intelligence use cases. 
• 5 + Years of experience as Technical Program Management. 
• Exposure to Microsoft Azure or similar cloud computing ecosystem preferred.
• Excellent written and verbal communication and presentation skills. 
• Ability to work independently and in a team to work productively with business stakeholders. 
• Familiarity with Agile methodologies and project management principles (Tools – JIRA, Confluence, Sprint Planning etc)
• Ability to document BRDs, FRDs etc.
• Proficiency in the IT systems and infrastructure commonly used in the semiconductor industry, including PLM, enterprise resource planning (ERP) systems, and data analytics platforms.
• Knowledge of supply chain processes and best practices in the semiconductor industry, including procurement, inventory management, and logistics. 
• Knowledge of SQL and database management systems
• Familiarity with data visualization tools such as Power BI