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BMW TechWorks India•1h ago
Indeed
Technology Titan
Pune, Maharashtra
Full Job Description
Required Experience, minimum: 15 years
Required Experience, maximum: 20 years
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Skills: PLM Product, PLM Domain, PLM Consulting
Role
Technology Titan | Hands-on PLM Enterprise Architect, Automotive OEM
Location
Pune | Flexibility for business travel
Experience
15+ years in enterprise technology and product engineering, including 10+ years in PLM architecture and digital transformation
What awaits you / Job Profile?
- Own the enterprise PLM strategy and target architecture for an automotive OEM, connecting product planning, requirements, systems engineering, mechanical and electrical design, software configuration, manufacturing, quality, aftersales and field feedback.
- Act as a hands-on architect: configure and extend PLM capabilities, develop integrations and reference implementations, review solution designs and code, and resolve complex product-data and performance issues.
- Translate engineering and business needs into scalable solutions across PLM platforms -Dassault Systèmes 3DEXPERIENCE ,SAP. while avoiding unnecessary customization.
- Ensure highest level of technical quality is established from requirement to function, system, software, hardware, variant, EBOM, MBOM, process plan, test evidence, vehicle configuration and service record.
- Lead PLM modernization, application rationalization and cloud or hybrid transformation, including legacy-data assessment, migration, reconciliation, cutover, archival and decommissioning.
- Define integration architecture across PLM, CAD/CAE, ALM, ERP, MES/MOM, quality, supplier, simulation and service platforms using governed APIs, events, integration services and canonical product-data models.
- Enable model-based systems engineering and software-defined vehicle development by connecting SysML models, requirements, software baselines, hardware configurations and verification evidence.
- Improve engineering change, configuration and variant management with complete impact analysis, traceability, approval controls and audit evidence across global product programs.
- Introduce AI-enabled PLM capabilities where justified, including semantic search, requirements assistance, metadata remediation, change-impact analysis and engineering copilots, with human validation and intellectual-property controls.
- Drive architecture governance, cybersecurity, availability, scalability, performance, observability, data quality and total-cost management; present options, risks and investment recommendations to senior leadership. Mentor architects and engineers, establish PLM standards and reusable patterns, and work across engineering, manufacturing, IT, suppliers and parent-company stakeholders.
What should you bring along?
- Proven architecture and delivery experience in automotive OEM or Tier-1 product development, including vehicle programs, global engineering collaboration and controlled product release.
- Deep understanding of PLM/PDM processes: part and document management, product structures, EBOM/MBOM/BOP(digital manufacturing) configuration and effectivity, variants, engineering change, release, classification and supplier collaboration.
- Experience delivering complex PLM transformation from process harmonization and architecture through implementation, migration, rollout, operations and measurable adoption.
- Ability to work directly with engineers and developers while influencing enterprise architects, business owners, cybersecurity, data governance and CXO stakeholders.
- Strong communication, facilitation, presentation and negotiation skills, with the ability to simplify complex product and technology decisions. Bachelor’s or Master’s degree in Mechanical, Automotive, Electrical, Computer Science, Information Technology or a related engineering discipline, or equivalent experience.
Must-have technical skills
- Advanced expertise in at least one major PLM stack: Dassault Systèmes 3DEXPERIENCE, including data model, workflows, access control, configuration, customization and administration architecture.
- Product-data and process architecture: requirements, BOM/BOP, variant and configuration management, effectivity, change and release, document management, classification and digital mock-up.
- AI/GenAI architecture for engineering: Strong understanding of enterprise GenAI architecture, including LLMs, RAG, embeddings, vector search, prompt/context engineering and secure integration with proprietary engineering and PLM data.
- Automotive digital thread integration across CAD/CAE and ECAD, ALM, ERP, MES/MOM, QMS, supplier and service systems; experience with tools such as CATIA, codebeamer, SAP and manufacturing platforms as applicable.
- Model-Based Systems Engineering (MBSE) and traceability concepts using SysML and relevant platforms; understanding of hardware-software dependency management for software-defined vehicles.
- AI-enabled digital thread: Ability to design AI-enabled solutions across requirements, systems engineering, PLM, ALM, CAD, BOM, engineering change, manufacturing, quality and service while maintaining traceability to product data.
- Integration engineering using REST/SOAP APIs, event or message platforms, XML/JSON, Java or C#, Python scripting, SQL and enterprise integration patterns.
- Cloud and platform engineering on AWS, Azure or GCP; containers, Kubernetes, Infrastructure as Code, CI/CD, automated testing, observability and secure secrets/identity management.
- PLM data migration and quality: extraction, mapping, cleansing, transformation, validation, reconciliation, lineage, archival and cutover planning for high-volume engineering data.
- Enterprise non-functional design covering identity and role-based access, supplier segregation, encryption, backup and disaster recovery, performance, availability, auditability and cross-region operations.
- Working knowledge of automotive engineering and cybersecurity expectations Experience with digital twins, digital manufacturing, simulation process and data management, generative engineering, AR/VR engineering collaboration or closed-loop quality and field feedback.
Good-to-have technical skills
- Knowledge of knowledge graphs, ontologies, semantic product models and AI-assisted PLM use cases with governed access to proprietary engineering data.
- Experience with cloud/SaaS PLM migration, composable architecture, low-code configuration, micro-frontends and vendor-neutral integration layers.
- Understanding of sustainability and product compliance data, material declarations, circularity, software bill of materials and regulatory traceability.
- Relevant certification from Dassault Systèmes , Siemens PTC; TOGAF, cloud architecture, Kubernetes, SAFe or systems-engineering certification.
Company
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BMW TechWorks India
https://in.indeed.com/cmp/BMW-Techworks-India?campaignid=mobvjcmp&from=mobviewjob&tk=1k75g99ighmiv800&fromjk=e80bdf7c6fe0d2a4
Pune, Maharashtra
Posted on Indeed
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