Senior Business Systems Analyst – Refining Digital Operations

About the role

Join the Refining Digital team as a senior resource to play a role in shaping and delivering transformative technology solutions that advance safety, reliability, efficiency, and business value across refining operations. As a Senior Business Systems Analyst, you will partner with business leaders, refinery stakeholders, and stakeholders across the Digital to define strategy, influence priorities, and drive enterprise-scale initiatives from concept through value realization. This role offers the opportunity to work with cutting-edge technologies including Digital Twins, connected worker solutions, industrial data platforms, and advanced analytics while bridging the gap between operational needs and technology innovation.

Location: Findlay, Ohio (additional locations: Anacortes, Washington; Canton, Ohio; Carson, California; Catlettsburg, Kentucky; Denver CO; Detroit, Michigan; Dickinson, North Dakota; El Paso, Texas; Garyville, Louisiana; Houston TX One Allen Center; Kenai, Alaska; Mandan, North Dakota; Martinez, California; Robinson, Illinois; Salt Lake City, Utah; San Antonio, Texas; St Paul Park, Minnesota; Texas City, Texas; Wilmington, California).

Responsibilities

• Lead the identification, evaluation, and delivery of strategic digital initiatives that create measurable business value across Refining locations and processes.
• Lead improvement recommendations and present effectively to senior and executive management and global teams.
• Serve as a trusted advisor and thought leader, helping shape the digital roadmap and identify opportunities to accelerate operational excellence.
• Present and lead client meetings with the business and development teams.
• Communicate with senior leaders for understanding and execution of cross‑functional complex processes and applications to solve for client requirements.
• Partner with senior Refining and Digital leaders to align technology investments with business objectives and operational priorities that cross both the IT and OT landscapes.
• Provide recommendations for appropriate systems alternatives and/or enhancements to current systems.
• Partner with business teams to develop ways to investigate business performance and other measures to gain insight and drive business planning.
• Lead and serve as a senior resource on cost‑benefit and return on investment analyses for proposed systems to aid management in making implementation decisions.
• Serve as a resource to colleagues, mentor and help improve the team’s abilities around all IT Service Management (ITSM) disciplines deployed.
• Lead the development, execution, and creation of the cross‑functional testing strategy communicating with all stakeholders for technology delivery.
• Drive complex initiatives across multiple teams and organizations, ensuring successful execution, adoption, and business outcomes.
• Lead the planning, conducting and documenting of user stories, user feedback; effectively communicate feedback with senior leaders for technology improvement.

Requirements

• Bachelor’s Degree in Information Systems preferred, related field or equivalent experience.
• 5+ years of relevant experience required.
• Experience leading complex business and technology initiatives in refining, manufacturing, industrial, or operational technology environments strongly preferred.
• Experience with Data Contextualization or Industrial Digital Twin technologies is preferred.
• Understanding of IT/OT convergence and integrating systems across industrial and enterprise environments is preferred.
• Proven ability to influence senior leaders, build consensus, and drive change across large, matrixed organizations is preferred.

Skills

• Adaptability – maintaining effectiveness when experiencing major changes in work responsibilities or environment; adjusting effectively to change by exploring benefits, trying new approaches, and collaborating with others.
• AI Fundamentals – understanding of core AI concepts and methods, ability to apply AI to job‑relevant use cases and capacity to contribute to organizational AI reimagination.
• Change Management – systematic approach for defining and implementing procedures and/or technologies to deal with changes in the environment.
• Agile Methodologies –