制造发现专家
MANUFACTURING DISCOVERY SPECIALIST
**永久/全职**
**€** 具有竞争力，根据经验而定
**爱尔兰 / 以远程为主 - 客户定期前往都柏林、戈尔韦、科克、沃特福德**
我们正在寻找一名制造发现专家，能够成为车间与技术团队之间对话的核心。不是纯粹的业务分析师，也不是只从外部了解制造的顾问。需要一位真正理解工业运营的人——包括系统、决策点以及从未进入文档的异常情况，并能将这种理解转化为可构建的、操作团队和数据工程师实际可用的明确需求。
你将与领域专家开展发现研讨会，绘制端到端的操作流程，并将所学内容转化为仪表板逻辑、自动化规则和数据规范。一个典型的项目包括与负责该流程的人员逐步走查核心操作流程，记录每个系统接触点和异常情况，然后将其转化为未来状态设计，消除手动电子表格工作，并在正确的时间显示正确的信号。
**关键要求：**
- 在至少一个运营领域（如供应链、工程和维护或质量）具有专业知识——理想情况下是在受监管或资产密集型环境中
- 有为操作专家开展发现研讨会和访谈并将其内容转化为结构化、准确的流程和数据模型的经验
- 强大的业务分析技能：需求、用户故事、流程映射和验收标准
- 在ERP、资产/维护、质量和实验室系统以及数据平台方面具有系统流利度——能够与技术人员和非技术人员讨论特定字段、状态和数据流
- 能够定义指标、SLA、信号逻辑和自动化规则，反映业务的实际运作方式
- 自信且有条理的沟通者，能够在不同技术水平的人员中管理会议并保持会话专注
- 大约3–7年相关经验
- 有ERP（如SAP）、CMMS/EAM、质量或实验室系统，或Databricks和Power BI等分析平台的直接经验——优先但非必需
- 在数据、数字化或运营转型项目中具有咨询或面向客户的交付经验——优先但非必需
**我们提供的：**
- 在制造业AI应用的前沿工作——你将看到转型
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 Manufacturing Discovery Specialist who can sit at the centre of the conversation between the shop floor and the technology team. Not a pure business analyst. Not a consultant who has only seen manufacturing from the outside. Someone who genuinely understands how industrial operations work – the systems, the decision points, the exceptions that never make it into the documentation – and can turn that understanding into clear, buildable requirements that operational teams and data engineers can actually use.
You will run discovery workshops with subject matter experts, map end-to-end operational processes, and translate what you learn into dashboard logic, automation rules and data specifications. A typical engagement involves walking a core operational process step by step with the people who run it, capturing every system touchpoint and exception, then shaping that into a future-state design that removes manual spreadsheet effort and surfaces the right signals at the right time.
**Key requirements:**
- Operational domain knowledge in at least one of supply chain, engineering and maintenance, or quality – ideally in a regulated or asset-intensive environment
- Proven ability to run discovery workshops and interviews with operational experts and turn what you hear into structured, accurate process and data models
- Strong business analysis skills: requirements, user stories, process mapping, and acceptance criteria
- Systems fluency across ERP, asset/maintenance, quality and laboratory, and data platforms – able to discuss specific fields, statuses and data flows with both technical and non-technical stakeholders
- Ability to define metrics, SLAs, signalling logic and automation rules that reflect how the business actually operates
- Confident, structured communicator who can manage a room across varied technical fluency and keep sessions focused
- Approximately 3–7 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:**
- 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 clear path to Senior Specialist level at a company scaling from 50 to 200+
**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.
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