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Position Summary

The IT Midstream Solution Architect will primarily support logistics within the Trucking, Marine, and Rail areas. This role will design and develop architecture (integrated process, applications, data, technology, and security) models.  The architect will also support the scaled agile (SAFe) Product Manager to identify solutions to business problems that set and align with the enterprise architecture direction and standards. Develops specifications for and selects new product/service offerings. Assesses the compatibility and reliability of proposed products/services to ensure architectures are composable and resilient. Performs architecture planning (strategy and roadmaps) and project support.  Foster vendor partner relationships to maintain knowledge of and influence the technical direction to ensure it reflects Marathon’s needs.

This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate’s experience and qualifications.

Key Responsibilities

• Supports architectural governance and compliance, and contributes to defining principles, guidelines, and standards. Participates and contributes to solution architecture reviews and ensures architecture adherence.
• Collaborates with stakeholders to ensure solution alignment with business objectives.
• Evaluate and select appropriate technologies, frameworks, and platforms.
• Takes a more active role in analyzing technology trends and impacts and contributes to vendor assessments.
• Leads the design and development of end-to-end solutions that meet business requirements.
• Analyzes and translates business and technical requirements into solution designs.
• Leads the translation of business and technical requirements into architectural blueprints, collaborating with product owners and managers. Defines system integration approaches and ensures interoperability of components.
• Provides guidance and support to development teams during solution implementation. Manages the architecture for a broader scope of projects and develops roadmaps for portfolio evolution.

Education and Experience

• Bachelor’s Degree in Information Technology, related field, or equivalent experience required.
• 5+ years of relevant architecture experience required.

Previous experience with the following areas will be beneficial to the role:

• Fleet Management: Experience with tracking vehicle performance, maintenance schedules, fuel consumption, and driver behavior using telematics and GPS tracking systems.
• Route Optimization: Proficiency in dynamic route planning, optimizing fuel consumption, and reducing transit times using software tools and algorithms, along with a strong understanding of geospatial and mapping technologies.
• Regulatory Compliance: In-depth knowledge of transportation regulations, including Hours of Service (HOS), Electronic Logging Devices (ELD), and driver safety protocols, with familiarity in both state and federal trucking regulations as well as international rail standards.
• Intermodal Freight Solutions: Ability to design and optimize end-to-end logistics solutions integrating truck, rail, and marine transportation, focusing on cost, speed, and environmental impact.
• Customs and Border Regulations: Experience with import/export processes, customs clearance, and cross-border regulations, particularly for international freight involving multiple transportation modes.
• Last-Mile Delivery: Expertise in optimizing last-mile delivery, including routing, time-window optimization, and addressing consumer-specific delivery requirements.

Skills

• Agile Methodology – Agile management is an iterative approach to delivering a project throughout its life cycle, taking incremental steps towards project the completion of a project.
• Analytical Thinking – Strong problem-solving skills to identify architectural challenges, analyze requirements, evaluate options, and propose effective solutions.
• Artificial Intelligence (AI) – Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correcti