Analytical Engineer Optimization

HF Sinclair•Dallas, TX

About The Position

Basic FunctionHF Sinclair is seeking a Analytical Engineer Optimization in Dallas, TX who will be Company subject matter expert in the use of technology for improvements in optimization and is responsible for leading the strategy for implementation and innovation of technologies, especially utilizing deep learning process control (DLPC).Job Duties Company subject matter expert in for deep learning process control technology. Creates policies and processes to support the company’s enablement of these tools. Leads and facilitates refinery optimization opportunities ideation sessions with an operating area and/or site for potential Deep Learning Process Control (DLPC) applications. Leads and facilitates review of value of optimization opportunities through operational and economic data analysis. Develops and sustains applicable OEMS practices and standards. Leads the configuration and deployment of applications for identified optimization opportunities. Owns and leads the training program for DLPC configuration and implementation. Develops and communicates performance metrics associated with DLPC programs. Develops capability to maintain/retrain as needed existing DLPC and online inferential models within fleet. Leads the collaboration with technology partners to utilize their technology to capture beyond DLPC and inferential opportunities. Collaborate with our Planning and Economics Departments to identify further optimization opportunities. Special assignments or tasks assigned to the employee by their supervisor, as determined from time to time in their sole and complete discretion.

Requirements

8+ years’ experience in a technical role within a refinery with ability to understand oil flows and process unit technology.
2+ years’ experience in Process Control or 2+ years’ experience economics and planning
A minimum of a bachelor’s degree in chemical engineering, Mechanical Engineering or other related fields, or equivalent work experience in lieu of a four-year degree is required.
Ability to foster strategic partnerships with business partners
Ability to cultivate a culture of continuous improvement and data-driven decision-making.
Solid critical thinking, analytical, and problem-solving skills, consensus building, leadership capabilities, and drive for results
Must have excellent written and verbal communication skills.
Must have demonstrated success in managing projects.
Strong ability to influence at all leadership levels
Self-starter with the drive and ability to achieve planned objectives.
Strong ability to work in a fast-paced, multi-tasking environment as a team player
Strong communication and change leadership
Coaching, mentoring, career planning, and skills development
Good knowledge and understanding of IT services & processes, and IT frameworks that help guide and enhance the delivery of services to the business
Experience managing complex environments and integrated 3rd party services, not limited to, infra-managed services, application-managed services, service desk operations, and network operations
Ability to perform intermediate mathematical calculations
Must fluently and clearly speak, read, and write in English

Nice To Haves

LSS Green or Black Belt
Power BI or Tableau reporting
Experience configuring Microsoft SharePoint and Power Platform solutions

Responsibilities

Company subject matter expert in for deep learning process control technology. Creates policies and processes to support the company’s enablement of these tools.
Leads and facilitates refinery optimization opportunities ideation sessions with an operating area and/or site for potential Deep Learning Process Control (DLPC) applications.
Leads and facilitates review of value of optimization opportunities through operational and economic data analysis.
Develops and sustains applicable OEMS practices and standards.
Leads the configuration and deployment of applications for identified optimization opportunities.
Owns and leads the training program for DLPC configuration and implementation.
Develops and communicates performance metrics associated with DLPC programs.
Develops capability to maintain/retrain as needed existing DLPC and online inferential models within fleet.
Leads the collaboration with technology partners to utilize their technology to capture beyond DLPC and inferential opportunities.
Collaborate with our Planning and Economics Departments to identify further optimization opportunities.
Special assignments or tasks assigned to the employee by their supervisor, as determined from time to time in their sole and complete discretion.