制造发现专家（高级）
SENIOR MANUFACTURING DISCOVERY SPECIALIST
**永久/全职**
**€** 有竞争力的薪资，根据经验而定
**爱尔兰 / 以远程为主 - 定期客户出差，都柏林、戈尔韦、科克、沃特福德**
我们正在寻找一位高级制造发现专家，负责领导Brightbeam在制造和工业领域的发现策略。不是一位只想把单一工作流做得很好的人。而是一位希望在整个发现流程中拥有端到端的主导权，涵盖供应链、工程和维护、质量等领域，塑造解决方案方向，影响高级客户利益相关者，并在此过程中让周围的专家变得更好。
你将在一个项目中领导多个领域和工作流的发现，指导和审查中级专家，并基于你的发现和建议赢得工厂主管和运营负责人信任。如果你是至少一个制造领域的知名专家，足以带领三个领域的工作，并且准备好设定标准而非跟随他人，那么这个职位适合你。
**关键要求：**
- 在供应链、工程和维护或质量中的至少一个领域有公认的深度知识，并且足够可信，能够领导这三个领域的发现工作
- 有在单个项目中同时领导多个运营领域的发现工作的成功经验，能够管理范围、利益相关者复杂性和团队质量
- 有影响高级客户利益相关者（如工厂主管、运营负责人、质量负责人）的记录，基于发现结果和解决方案建议
- 有指导或辅导更初级的业务分析师或发现专家的经验，并提升他们的产出质量
- 强大的业务分析能力：需求、用户故事、流程映射，以及在项目层面塑造解决方案方向和变革理由的能力
- 对ERP、资产/维护、质量及实验室系统，以及数据平台有良好的理解
- 沟通能力强，结构清晰，在与高管利益相关者的对话和与操作人员的详细流程讲解中都能自如应对
- 十年以上相关经验
- 有直接使用ERP（如SAP）、CMMS/EAM、质量或实验室系统，或数据分析平台如Databricks和Power BI的经验 – 有优势但非必需
- 在数据、数字化或运营转型项目中有咨询或面向客户的交付经验 – 有优势但非必需
**我们提供：**
- 领导Brightbeam最重要的发现职能
查看英文原文
**PERMANENT/FULL-TIME**
**€** Competitive, DOE
**IRELAND / REMOTE-FIRST - REGULAR CLIENT TRAVEL DUBLIN, GALWAY, CORK, WATERFORD**
We are looking for a Senior Manufacturing Discovery Specialist to lead discovery strategy across Brightbeam's manufacturing and industrial engagements. Not someone who wants to run a single workstream well. Someone who wants to own the end-to-end discovery approach across supply chain, engineering and maintenance, and quality – shaping solution direction, influencing senior client stakeholders, and making the specialists around them better in the process.
You will lead discovery across multiple domains and workstreams within a single engagement, coach and review mid-level specialists, and earn the trust of plant directors and operations leads based on what you find and what you recommend. If you are a recognised expert in at least one manufacturing domain, credible enough to lead across all three, and ready to set the standard rather than follow it, this role is for you.
**Key requirements:**
- Recognised depth in at least one of supply chain, engineering and maintenance, or quality – and credible enough to lead discovery across all three
- Proven ability to lead discovery across multiple operational domains simultaneously, managing scope, stakeholder complexity and team quality within a single engagement
- Track record of influencing senior client stakeholders – plant directors, operations leads, quality heads – based on discovery findings and solution recommendations
- Experience coaching or mentoring more junior business analysts or discovery specialists and raising the quality of their outputs
- Strong business analysis skills: requirements, user stories, process mapping, and the ability to shape solution direction and the case for change at engagement level
- Systems fluency across ERP, asset/maintenance, quality and laboratory, and data platforms
- Confident, structured communicator equally at home in an executive stakeholder conversation and a detailed process walkthrough with operational staff
- Ten or more years of relevant experience
- Direct experience with ERP (e.g. SAP), CMMS/EAM, quality or laboratory systems, or analytics platforms such as Databricks and Power BI – desirable but not essential
- Consulting or client-facing delivery experience on data, digital or operational transformation programmes – desirable but not essential
**What we offer:**
- Lead the discovery function on Brightbeam's most complex manufacturing engagements
- Work at the frontier of AI adoption in manufacturing – you will see transformation happen in real time
- A genuinely mission-motivated company – we believe AI should create meaningful work, not just cut headcount
- A fast-scaling environment where your expertise shapes the practice, not just your workstream
**How to apply:**
Submit your details via and include your CV with a brief cover note explaining why this role interests you, what you would bring to Brightbeam, and one specific example of how you have used AI tools to improve your work. Quality over length.
Any questions: [careers@brightbeam.com](mailto:careers@brightbeam.com)
**Diversity & inclusion:**
Brightbeam is committed to building a diverse and inclusive team. We welcome applications from all backgrounds and are happy to discuss accommodations or adjustments to our process.
###