Associate Tech Lead – Engineering Commodity

Key Responsibilities

• Support and maintenance of Engineering Commodity Classification in Team Center.
• Collaborate with business stakeholders, engineering teams, product owners, IT teams, analytics teams, and cross-functional partners to gather, analyze, and translate business requirements into effective technical solutions.
• Support the integration of Engineering Commodity Classification systems with enterprise applications, engineering platforms, data platforms, and reporting tools.
• Apply design engineering and product engineering background knowledge to better understand component structures, product configurations, engineering attributes, and classification logic.
• Work closely with product engineering and design teams to align commodity classification processes with engineering standards, product structures, BOM attributes, and design requirements.
• Contribute to Data Analytics initiatives by supporting data extraction, transformation, reporting, dashboard development, and insight generation.
• Assist in building and enhancing data models, data pipelines, and analytical solutions to support business and engineering decisions.
• Support Artificial Intelligence and automation use cases, including intelligent classification, predictive analysis, recommendation models, and process optimization where applicable.
• Identify opportunities to improve classification accuracy and workflow efficiency using engineering knowledge, analytics, and AI-driven approaches.
• Contribute to testing, deployment, release coordination, and post-production validation activities.
• Monitor application performance, system stability, data quality, and support production issue resolution.
• Maintain and update technical documentation, including workflows, design documents, support guides, data definitions, and change records.
• Drive continuous improvement in application functionality, analytics capability, AI adoption, and technical delivery practices.

Required Skills and Qualifications

• Bachelor’s degree in mechanical / electrical engineering, Product Engineering, Data Science, or a related field.
• Experience in team center systems support, analytics, and technical leadership roles.
• Knowledge of enterprise application integration, APIs,
• Understanding of Data Analytics concepts, reporting, dashboarding, and data interpretation.
• Exposure to Artificial Intelligence / Machine Learning concepts and their practical application in business or engineering processes.
• Strong design engineering or product engineering background knowledge, with understanding of engineering components, product structures, specifications, attributes related to HVAC Industry and classification concepts.
• Familiarity with engineering data, BOM structures, component taxonomy, and product-related business processes.
• Strong analytical, problem-solving, and troubleshooting skills.
• Ability to collaborate effectively with cross-functional business, technical, engineering, and data teams.
• Good verbal and written communication skills.

Preferred Qualifications

• Experience supporting engineering, classification, product data, supply chain, or commodity in PLM and ERP systems.
• Familiarity with databases, SQL, data pipelines, business intelligence tools, or reporting platforms.
• Ability to mentor junior team members to manage Part Classification and data developers or analysts and contribute to team capability building.
• 7-9yrs of working experience in product engineering, design engineering, component classification, or product lifecycle management processes.

Key Competencies