PRIMARY PURPOSE:
Drive the capture, distillation, and reuse of critical engineering knowledge — including lessons learned, tacit expertise, and Foundation FMEAs — across DSS. The goal is to convert individual and team knowledge into reusable organisational assets that improve future design and process decisions and prevent repeated failures.
This role combines two complementary disciplines: (1) facilitating the elicitation and documentation of lessons learned into actionable, reusable knowledge assets, and (2) enabling cross-functional teams to build, maintain, and reuse high-quality Foundation FMEAs (both PFMEA and DFMEA) using the AIAG-VDA 1st edition methodology.
The facilitator does not own the FMEA content or the lessons — that remains with the functional teams (PDE, DPE, AQP). This role exists to enable, coach, and drive these teams to capture and reuse knowledge effectively.
DUTIES & RESPONSIBILITIES:
Foundation FMEA Facilitation
• Facilitate cross-functional teams (PDE, DPE, AQP, ME) in building Foundation and project-specific PFMEAs and DFMEAs using the AIAG-VDA 1st edition methodology in Plato e1ns software.
• Coach and guide teams through structured FMEA sessions — asking the right questions, challenging weak analysis, and ensuring output meets quality standards. Functional teams own FMEA progress and domain knowledge; the facilitator provides methodology discipline and process structure.
• Prioritise Foundation FMEA development in collaboration with the Capability Leader, KM and functional leaders — focusing on product families and process types with the highest repeat-failure rates, knowledge concentration risks, or cross-site sharing opportunities.
• Identify and facilitate cross-site reuse of Foundation FMEAs in project-specific FMEAs, ensuring they are enriched by Foundation FMEAs rather than rebuilt from scratch.
• Serve as a Plato e1ns subject matter expert within the site — training users, troubleshooting issues, and advising on best practices for structuring FMEAs in the software.
Knowledge Elicitation and Capture
• Facilitate knowledge capture at key workflow moments: after problem resolution (8D/QN closure), during NPI design reviews, at project phase gates, and proactively with at-risk experts (e.g., retirement, role change).
• Conduct structured knowledge elicitation sessions with SMEs and project teams — using interviews, facilitated reflection, and guided storytelling to surface tacit knowledge that would not emerge through self-documentation alone.
• Harvest knowledge from existing work outputs — 8D reports, design review minutes, QN closure notes, and project retrospectives — and convert them into structured, reusable lessons.
Knowledge Distillation, Quality and Reuse
• Transform raw information (incident reports, meeting notes, expert interviews) into distilled insights — clear, concise knowledge assets that identify the systemic root cause, the decision point affected, the recommended prevention, and the scope of applicability.
• Apply a quality standard to all knowledge assets before publication: every lesson must answer — What systemic gap allowed this? What should change? Where else does this apply? How will reuse be verified?
• Ensure lessons from Auros and 8D reports flow into Foundation FMEA updates, and that Foundation FMEA gaps are flagged for knowledge capture — creating a closed loop between lessons learned and risk prevention.
• Review and improve existing lessons in Auros and other repositories — upgrading content that is too project-specific, too vague, or lacking systemic improvement recommendations.
Training, Communication, and Community
• Deliver hands-on FMEA training adapted for local context and language needs. Maintain training materials (with the global team) including quick-reference guides and worked-example Foundation FMEAs.
• Create and manage a monthly knowledge newsletter — selecting high-impact lessons, providing context, and distributing to relevant teams across CSBU and OSBU.
• Support Communities of Practice (CoPs) — contributing to the FMEA/Risk CoP, surfacing relevant knowledge for CoP sessions, facilitating knowledge-sharing discussions, and converting CoP dialogue into formal knowledge assets.
• Support the integration of knowledge capture into existing business processes — collaborating with TPM and Navigator teams to embed knowledge moments into the Product Development Process (PDP).
Knowledge Systems and Process
• Serve as a key user and content quality owner for the Auros lessons learned system — working with the Auros SME on system configuration, lesson workflows, and content standards.
• Liaise with the Global FMEA Core Team and Peak Avenue on Plato e1ns software issues, feature requests, and training coordination.
• Contribute to KM metrics by tracking: lessons captured per period, lesson quality ratings, reuse evidence (lessons referenced in project decisions), Foundation FMEA coverage, and knowledge risk mitigation progress.
• Explore and pilot AI-assisted knowledge capture methods (e.g., voice-to-text transcription, AI-structured lesson drafting, Copilot agents) to reduce the effort burden on contributors while maintaining knowledge quality
Other duties as assigned by Management.
SCOPE: This role supports CSBU and/or OSBU engineering, quality, and manufacturing teams primarily within the site it is situated in. Collaboration across sites is also possible.
EDUCATION:
REQUIRED:
• Bachelor's degree in Engineering (Mechanical, Electrical, Manufacturing, Industrial, or related discipline) or its equivalent
PREFERRED:
• Formal FMEA training or certification (AIAG-VDA 1st edition preferred)
• Training or certification in Knowledge Management (e.g., APQC), Organisational Learning, or Technical Writing
• Training in facilitation, coaching, or adult learning methods
• Familiarity with quality management systems (ISO 9001, IATF 16949)
WORK EXPERIENCE:
REQUIRED:
• Minimum 5 years of industrial experience in engineering, quality, manufacturing, or technical knowledge management environments
• Demonstrated experience in one or more of the following: facilitating lessons-learned sessions, conducting structured interviews or knowledge capture with technical experts, technical writing or documentation of complex engineering processes
• Experience working cross-functionally with engineering and manufacturing teams in a product development environment
PREFERRED:
• Experience in the connector, cable assembly, or electronic components industry
• Experience with Plato e1ns or equivalent FMEA software tools
• Experience with Foundation FMEA (generic/family-level) development, not just project-specific FMEAs
• Experience with lessons-learned systems (e.g., Auros, Livelink, Confluence, or similar knowledge repositories)
• Prior involvement in knowledge management, organisational learning, or continuous improvement programmes
• Experience with 8D problem solving or quality management systems — understanding of how knowledge feeds into risk prevention
• Exposure to AI-assisted tools for knowledge capture or content creation
SKILLS & ABILITIES:
REQUIRED:
• Strong FMEA methodology knowledge — specifically AIAG-VDA 1st edition. Practical experience in leading or facilitating FMEA workshops.
• Strong facilitation skills — ability to lead structured workshops and knowledge elicitation sessions with cross-functional teams, draw out tacit knowledge, challenge weak analysis constructively, and keep sessions productive
• Strong analytical and synthesis skills — ability to take raw, unstructured information (8D reports, interview transcripts, meeting notes) and distil it into clear, actionable insights
• Sufficient manufacturing and/or product development understanding to engage credibly with engineers — able to recognise when analysis is shallow or when a lesson is missing the systemic insight
• Strong written communication skills — ability to write concise, well-structured knowledge assets that engineers will actually read and use
• Self-directed and organised — able to manage FMEA facilitation schedules and knowledge capture projects across multiple teams with minimal supervision
• English proficiency required for cross-site collaboration and global communication
PREFERRED:
• Language capability relevant to the site the position is located in
• Proficiency in Plato e1ns software, or demonstrated ability to rapidly learn specialised engineering software
• Visual communication skills — ability to create diagrams, one-pagers, pattern maps, or infographics that make knowledge accessible
• Familiarity with digital tools: Microsoft 365 (SharePoint, Teams, Copilot), Auros or equivalent knowledge systems
• Comfort with AI tools for transcription, content structuring, and knowledge capture automation
• Training development skills — ability to create and adapt training materials for different audiences and languages
• Cross-cultural sensitivity — the role requires working with engineers across Singapore, China, Mexico, Vietnam, and the US
• Coaching mindset — patience and skill in helping reluctant or time-constrained experts see the value of sharing their knowledge