Responsibility:

In this position, you’ll convert large amounts of data into actionable insights in the LGUS Equipment Health Center (EHC). Together with rotating, electrical, and process experts, you will continuously improve advanced diagnostics and health analytical systems

Purpose:

The primary focus will be in developing scalable MS-SQL, GE historian, Tableau-based and Power BI applications building on existing or new code for data mining, statistical analysis, and prediction systems. With these applications, the EHC will continuously monitor and improve the reliability, efficiency, maintenance, total lifetime cost and safety of plant equipment.

Principle Responsibilities:

Lead, develop and manage Equipment Health Center KPIs.

Analyze operational data from multiple sources and transform them into information by leveraging a variety of statistical techniques such as segmentation, regression, survival analysis, principal component analysis, scenario and sensitivity analysis, neural networks, and machine learning.

Create visualizations and/or interactive dashboards for displaying results to the EHC rotating and electrical experts using open-source and commercially available visualization and dashboard tools.

Work with discipline experts to develop and build predictive models new predictive technologies.

Cooperate closely with CoE software and tool developers on the further development of existing predictive technologies and the development of new ones.

Work with regional reliability teams to set implementation goals of predictive technology tools, assist with tool implementation and track the progress.

Collaborate with subject matter experts and productivity team to evaluate and track the benefits of predictive technologies.

Research and prioritize AI use cases.

Coordinate external data service and development with providers.

Support EHC engineers and consultants in the process of extracting, transforming and loading data to ensure proper data delivery and data quality.

Conduct regular market research for efficient remote monitoring and data analytics methods to continuously improve EHC efficiency and effectiveness.

Build data storytelling tools for communication efforts.

Train/coach team members and peers and actively share expertise.

Key Interfaces:

Predictive technologies global experts (CoE).

Rotating and electrical equipment specialists.

Data science and digital team peer groups.

Automation and operational technology specialists.

Regional reliability and maintenance peer groups.

Information technology team and cloud services.

Linde productivity team

Key Behaviors:

Strong in interdisciplinary teamwork.

Potential to act as a Change Manager and catalyst for changes.

Demonstrated ability to challenge status quo and improve existing processes/programs.

Strong in implementation and organization.

Willingness to travel to production sites as needed.