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**Must Have Skills**:- **Technology Adoption & Implementation**:Proven ability to successfully research, select, implement, and integrate new technologies into existing systems and workflows.
This includes assessing compatibility, managing risks, and providing training and support to users.
Experience with Advance Manufacturing, Machine Learning, Artificial intelligence is a plus.- **Incident Management**:Ability to identify, diagnose, and resolve IT incidents affecting both IT and industrial devices, regardless of the source (users, internal teams, or external factors).
This includes restoring functionality and implementing preventative measures.- **Process Improvement & Root Cause Analysis**:Proven ability to collaborate with cross-functional teams to identify and resolve problems, implement process improvements, and prevent recurrence.
Experience using quality standards and metrics to track performance and plan future improvements is essential.- **Problem-Solving & Decision-Making**:A highly motivated, self-directed individual with excellent problem-solving skills, strong negotiation abilities, and the capacity to make sound, fact-based decisions, especially under pressure.- **Leadership & Teamwork**:Excellent interpersonal skills, demonstrating professionalism and maturity.
Proven ability to lead, coordinate, and delegate effectively within teams, especially in high-pressure situations.
Experience managing and mentoring international teams is highly valued.- **Technical & Analytical Skills**:Proficiency in using Microsoft Office 365 (including Project, SharePoint, and Visio) and data analytics tools (e.G., Minitab, Alteryx, QlikView, Power BI).
Ability to verify and validate solutions, services, and products against acceptance criteria, using analytical and technical reasoning.
Experience interpreting architectural drawings and business flow diagrams is required.
**Essential Skills**:- **Programming**:Solid programming skills in at least one language (Python, Java, C++, or similar), demonstrated through experience improving software quality, making minor enhancements, or contributing to development projects.
Examples of relevant projects are highly valued.- **Software Development Lifecycle (SDLC)**:Good understanding of the SDLC, including requirements, design, testing, and deployment, with experience in Agile or Waterfall methodologies.
The ability to articulate contributions in each SDLC phase is essential.- **Cloud Computing**:Practical experience with a major cloud platform (AWS, Azure, GCP), including familiarity with cloud services, infrastructure, and deployment.
Specific examples of cloud projects are helpful.- **Databases**:Experience with relational databases (MSSQL, MySQL), including SQL querying and data manipulation; basic database design knowledge is beneficial