3 дня назад
Associate Tech Lead – Engineering Commodity (AI/Data Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate Tech Lead – Engineering Commodity (AI/Data Analytics): Supporting engineering commodity classification in Teamcenter and integrating classification systems with enterprise, engineering, data, and reporting platforms with an accent on product engineering, data analytics, and AI-driven automation. Focus on building dashboards, data models, and pipelines, improving classification accuracy and workflow efficiency, and maintaining data quality and application stability.
Location: Bangalore, Karnataka, India. Monday to Thursday onsite with colleagues; Friday offers flexibility to choose the work location.
Company
develops sustainable and efficient climate solutions for buildings, homes, and transportation through brands including Trane and Thermo King.
What you will do
- Support and maintain Engineering Commodity Classification in Teamcenter.
- Translate business and engineering requirements into technical solutions and integrate classification systems with enterprise, engineering, data, and reporting platforms.
- Apply design and product engineering knowledge to component structures, product configurations, BOM attributes, engineering standards, and classification logic.
- Develop data extraction, transformation, reporting, dashboards, data models, pipelines, and analytical solutions.
- Support AI and automation use cases such as intelligent classification, predictive analysis, recommendation models, and process optimization.
- Contribute to testing, deployment, release coordination, application monitoring, data-quality management, documentation, and production issue resolution.
Requirements
- Bachelor’s degree in mechanical engineering, electrical engineering, product engineering, data science, or a related field.
- Experience with Teamcenter systems support, analytics, and technical leadership.
- Knowledge of enterprise application integration and APIs, with an understanding of data analytics, reporting, dashboarding, and data interpretation.
- Exposure to artificial intelligence and machine learning applications in business or engineering processes.
- Strong design or product engineering knowledge, including HVAC components, product structures, specifications, attributes, BOM structures, and component taxonomy.
- Strong analytical, problem-solving, troubleshooting, communication, and cross-functional collaboration skills.
Nice to have
- Experience with engineering, classification, product data, supply chain, or commodity processes in PLM and ERP systems.
- Familiarity with databases, SQL, data pipelines, business intelligence tools, or reporting platforms.
- Ability to mentor junior team members and support capability building.
- 7–9 years of experience in product engineering, design engineering, component classification, or product lifecycle management.
Culture & Benefits
- Work within a sustainability-focused climate solutions organization.
- Access competitive compensation, comprehensive benefits, and employee programs.
- Participate in continuous improvement across application functionality, analytics, AI adoption, and technical delivery practices.
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