Senior Analyst Digital Product Data

TE Connectivity's Automotive Business Unit (BU) consistently strives to drive innovation and excellence in developing cutting-edge solutions that enhance vehicle connectivity, safety, and efficiency. From robust electrical connectors and sensors to advanced data connectivity systems, the Automotive BU plays a pivotal role in shaping the future of mobility. Its dedication to sustainability, coupled with a relentless pursuit of high-quality products enables the industry to meet the challenges of tomorrow while delivering exceptional value to customers and consumers alike.

As part of the Global Automotive Digital Engineering Organization, this role focuses on ensuring the accuracy, consistency, and availability of Digital Product Data across te.com and other customer-facing platforms. The position reports to the Manager – Digital Engineering. The Digital Engineering team is at the forefront of engineering transformation, driving digital excellence across product data, systems, and workflows, including AI & Automation.

• Collaborate with relevant sub-vertical Product Managers, Engineering Teams, IT, Marketing, Product compliance and other stakeholders to gain the necessary understanding to curate, create, publish and distribute digital content in various format and platforms.
• Utilize data analytics tools like TE’s PMINSIGHTS, Adobe Analytics and data warehouse to develop insight and recommendations to product management, marketing and engineering on product selection and promotion across the Industrial product portfolio.
• Use Engineering skill to understand existing unstructured product data (i.e. catalog, data sheet) and translate this into digital document form and record-based data accessible. Eventually CAD skill might become required to produce customer view models, rendered image, 3D data.
• Interface with central and other business units’ digital teams to further develop processes and share best practices.
• Collaborate into with marketing, IT and central team for product data syndication, publishing and translation.
• Develop a deep understanding of system dependencies, data sources, granularity, availability, and limitations.
• Follow existing tracking mechanisms and provide timely status reporting to the Digital Content Manager & Stakeholders (i.e. Product Managers, Engineering Teams, Management), drive improvements based on the business requirements and advise of any potential abnormality, gaps or risk.
• Identify data quality/integrity issues, propose solutions and oversee their final resolution.
• Employ strong problem-solving skills with an owner mentality.
• Willingness to take initiative to contribute beyond basic responsibilities.
• Achievement against collected targets of required digital content availability will be measured and reported out in a tiered accountability process (BU level, Subvertical level, PLP level, etc.) to drive a sustainable high level of digital content of Industrial products in line with the evolving market needs

• 8+ years of experience in product data/information management.
• Independent Self-starter able to work effectively in a cross functional environment.
• Experience with identifying and maintaining product facets, including but not limited to CVM’s, Customer Drawings, Product Compatibility & Accessories, Test reports, Product Data Sheets, etc.
• Demonstrated experience in handling large data sets and a solid understanding of relational databases.
• Strong analytical skills with the ability to collect, organize, analyse and disseminate significant amounts of information to ensure successful implementations.
• Strong problem-solving skills and accountability level (taking ownership).
• Knowledge of engineering and/or product data maintenance tools is a plus.
• Advanced experience of Excel required which includes experience with Excel functions (i.e. VLOOKUP, IF, LEN), macros, and Pivot tables.
• Knowledge in reporting and analytics tools like tableau or Power BI
• Knowledge of product information/ content management solutions is a plus.
• Good stakeholder management and strong cross-functional teamwork skills and strong communication skills.
• Background in Engineering, preferably related to Automotive or manufacturing industry