Senior Talent Acquisition Specialist/Technical Recruiter
The ideal candidate aligns with architecture and manufacturing domain expertise, bringing a blend of On-Prem and Cloud experience and a track record of delivering end-to-end solutions in operations, automation, IoT, Production or Quality, and enterprise systems such as MES, ERP, PLM, and related platform architectures.
Key Responsibilities:
- Collaborate with business stakeholders, engineers, and IT teams to define solution requirements that align with manufacturing strategy.
- Design scalable, secure, and efficient solutions that integrate shop floor systems (Data Collection, MES, SCADA, Production, Quality) with enterprise applications (Reliability Insights, Connected Control Plan, Quality).
- Lead solution design for smart factory initiatives, including IoT, data collection, visualization, analytics for assets and processes, and digital twin technologies.
- Evaluate and select suitable technologies, tools, and vendors for manufacturing systems.
- Ensure solutions comply with enterprise architecture standards, cybersecurity protocols, and regulatory requirements, or establish new standards where necessary.
- Provide technical leadership and guidance throughout project lifecycles, from conceptual design to implementation, including participation in daily operations within a Solution Pillar and attendance at team ceremonies.
- Support process mapping, gap analysis, and system configuration with cross-functional teams.
- Create and maintain architectural documentation, such as system blueprints, data flow diagrams, integration patterns, and paved road creation.
- Identify and mitigate risks associated with solution design and delivery.
- Monitor advancements in Industry 4.0, manufacturing technologies, and digital transformation.
Qualifications
Experience:
- 10+ years of experience in IT, systems integration, or enterprise architecture roles.
- 5+ years of experience specifically in manufacturing or industrial automation environments.
Technical Skills:
- Deep understanding of manufacturing operations and technologies (e.g., MES, SCADA, PLCs, HMI, DCS, Networking).
- Experience with Manufacturing Projects related to Quality and Production; some familiarity with ERP systems.
- Experience with cloud platforms (e.g., AWS, Azure) and edge computing, Kubernetes containerization, streaming platforms (e.g., Kafka).
- Knowledge of data modeling and integration patterns (APIs, middleware, OPC-UA, MQTT) for Time Series, SQL, Big Data, and Data Lake connectivity.
- Cybersecurity awareness in OT/IT environments.
- Experience with Industry 4.0 technologies: IIoT, Network Connectivity and Cybersecurity, ISA 95 data structure, and tools for Process Data Collection and Visualization.
Preferred Certifications:
- PMP or Agile project management certifications.
- Specific AWS or Azure Solution Architecture Certifications.
- TOGAF, ArchiMate, or other architecture frameworks.
- Certifications in MES or ERP platforms (e.g., SAP PP/ME, Rockwell, Siemens).
Additions Beneficial Qualifications:
- Experience developing & deploying Quality and Process Data Collection from multiple sources to Machine Learning/AI models, mobile applications, notifications, and integrations.
- Experience leading regular reviews of portfolios to identify opportunities for stability, performance, and complexity reduction.