Owns end-to-end engineering bill of materials processes, vehicle variant planning, configuration control, engineering changes, product data quality, and PDM system testing. Leads cross-functional collaboration across design, R&D, production, IT, and global teams while managing release activities, issue resolution, KPIs, and AI-enabled automation initiatives.
The Senior Manager – Product Data Management will own end‑to‑end Engineering Bill of Material (EBOM) processes, drive vehicle variant planning, and ensure flawless configuration control across new product development and series production programs. The role requires close collaboration with design, R&D, production, IT, and global teams, leveraging PLM tools, AI‑enabled automation, and rigorous quality checks to deliver high‑quality product data and support timely releases.
Responsibilities- Lead EBOM initiation, validation, release and delivery for new and series‑production programs (≈50% of effort).
- Own and deliver Product Data Engineering (PDE) deliverables in line with project timelines and quality standards.
- Execute vehicle variant planning, configuration management and feature‑code definition based on market requirements.
- Perform daily feasibility verification of engineering codes and configuration logic to ensure error‑free product definition.
- Support and implement Engineering Change Orders (ECOs) and Engineering Change Notices (ECNs), conducting quality checks for completeness and manufacturability.
- Coordinate R&D design release activities and provide status reporting to design and production teams.
- Plan, coordinate and execute User Acceptance Testing (UAT) for PDM systems and tools.
- Manage issue resolution, drive root‑cause analysis and facilitate cross‑functional closure.
- Monitor and report KPIs related to release management, data quality and project milestones.
- Leverage AI‑powered tools and automation to improve BOM management, data validation and change processes.
- Bachelor's degree in Mechanical Engineering, Automotive Engineering or related field.
- 6–10 years of experience in automotive product data engineering, preferably with commercial vehicle programs.
- Strong knowledge of EBOM, PBOM, MBOM, CBOM and SBOM structures.
- Hands‑on experience with PLM tools such as Siemens NX and Teamcenter.
- Proven ability to manage complex vehicle configurations and multi‑variant BOMs.
- Understanding of code configurations and engineering change processes.
- Familiarity with Digital Mock‑Up (DMU) structures and assembly/product structure management.
- Experience in leading cross‑functional teams and coordinating with global stakeholders.
- Certification in PLM, Configuration Management or Product Development (preferred).
- Ability to apply AI/automation solutions to improve product data processes.
- Knowledge of Boolean algebra (And / Or / Not) and truth table
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