Lead Solution Architect (Finance)

An exciting career awaits you

At MPC, we’re committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.

Position Overview

The Lead Solution Architect is a senior individual contributor responsible for shaping end-to-end solutions for complex initiatives spanning business processes, data, applications, integrations, cloud services, security, and operations. Anchored in the Corporate Functions Order-to-Cash domain, this role partners with product and business leaders from early planning through implementation to define solution direction, evaluate trade-offs and risks, clarify dependencies and ownership, and ensure solutions align with business and technology needs.

The successful candidate will bring strong business-domain and technical expertise across areas such as Order-to-Cash, customer and master data, commercial and operational processes, regulatory compliance, SAP S/4 and SAP MDG, automation, and enterprise integrations. The role works across Commercial, Finance, Supply Chain, Data and Analytics, and operational functions to translate business needs into scalable solutions with clear data ownership, integrations, controls, and measurable outcomes. The Lead Solution Architect also strengthens the broader architecture practice by developing reusable patterns, improving architecture standards and tools, mentoring others, and connecting enterprise architecture strategy to practical delivery decisions.

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, including the development and application of reusable architecture patterns, decision trees, guardrails, and standing decisions based on proven delivery outcomes, with clear applicability, exceptions, ownership, status, provenance, and review expectations.
• Design and lead enterprise-scale solution architectures that span multiple systems or platforms, ensuring alignment with business goals, technical strategy, and enterprise architecture, within value streams, Owning the complete-solution thread across business process change, applications, data, integration, identity, security, infrastructure, cloud and SaaS services, operational technology boundaries where applicable, service transition, vendor commitments, and retirement impacts.
• Architect solutions for major modernization initiatives that deliver enhanced agility, scalability, and operational efficiency.
• Serve as the primary lead architectural advisor for cross-functional solution delivery, collaborating with business stakeholders, Enterprise and System Architects to ensure cohesive, value-driven designs, and partnering with Product Management, Engineering, Data, Cybersecurity, Infrastructure, Finance, Supply Chain, vendors, and service owners to resolve cross-domain decisions and maintain end-to-end coherence.
• Define and enforce solution architecture standards, integration patterns, and governance practices that promote consistency, interoperability, and future-readiness across business units, including defining and maintaining solution intent, including interfaces and contracts, authoritative data sources, constraints, measurable quality attributes, dependency order, enablers, and the design freedom delegated to engineering teams.
• Mentor and develop solution and system architects and implementation teams (DevSecOps, Product teams, hybrid cloud, etc.), fostering a culture of innovation, technical excellence, and business-technology alignment.
• Shape strategic roadmaps and business capability models, ensuring that solution designs support long-term enterprise objectives and competitive differentiation, framing key decisions before the design by establishing the business outcome, accountable owner, affected landscape, credible options, material assumptions, unresolved questions, and the evidence required for an investment or delivery decision.
• Proactively identify and mitigate solution-level risks, incorporating emerging technologies and architectural foresight to ensure resilience, compliance, and adaptability.
• Guide implementation teams through material cross-system decisions, evaluate departures from approved intent, make consequences visible, and route decisions to the accountable business, product, domain, security, data, or technology owner.
• Orchestrate options assessments, architecture decision records, solution briefs, solution intent, non-functional requirements, interface contracts, change records, and as-built verification for complex initiatives, while avoiding documentation that does not enable, change, or preserve a decision.

Education and Experience

• Bachelor’s Degree in Information Technology, related field, or equivalent experience required.
• Eight (8) or more years of relevant IT experience, including five (5) or more years of relevant architecture experience required.

Preferred Experience

• Experience in energy, manufacturing, logistics, commercial, refining, pipeline, or other operationally complex and regulated environments.
• Experience establishing or maturing an architecture practice through reusable patterns, standards, guardrails, governance mechanisms, knowledge management, mentoring, and continuous improvement.
• Experience carrying architecture through delivery and operation, including solution intent, measurable non-functional requirements, interface and data contracts, architecture decision records, material change assessment, and as-built verification.
• Experience supporting portfolio and product decision-making, including option analysis, technology and vendor evaluation, architecture trade-offs, roadmap and dependency shaping, investment inputs, and risk communication to business and technology leaders.
• Demonstrated experience leading architecture for complex, enterprise-scale initiatives spanning multiple systems, business capabilities, data domains, integration patterns, cloud or SaaS platforms, and organizational boundaries.

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-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems.
• Authentic Communicator – Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue.
• Big Data Analytics – Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively handle large volumes of data and enable advanced analytics.
• Business Acumen – Applies knowledge of MPC’s business, industry and the marketplace to advance the organization’s goals. Makes decisions and recommendations clearly linked to MPC’s strategy.
• Cloud Computing – Knowing how to manage cloud services, develop cloud applications and use cloud architecture to meet customer needs.
• Continuous Improvement Mindset – Identifies and leads opportunities for continuous improvement and value creation, both incremental and large-scale.
• DevSecOps – A set of practices that automates the integration of security at every phase of the software development lifecycle, from initial design through integration, testing, deployment, and software delivery, with an aim towards shortening the systems development life cycle and as well as continuous delivery and a security-first approach.
• Functional Expertise – A strong understanding of various technologies, platforms, and systems relevant to the organization's architecture, such as networking, databases, cloud computing, and security.
• Internet of Things (IoT) – Familiarity with IoT concepts and protocols, as well as experience designing architectures that incorporate IoT devices and enable seamless connectivity and data exchange.
• Machine Learning – Machine learning is a branch of Artificial Intelligence (AI) and computer science that involves the development of algorithms and statistical models that enable computers to progressively improve their performance on a specific task through learning from data, without being explicitly programmed. In essence, machine learning algorithms learn from patterns and relationships in data to make predictions, decisions, or identify patterns, often with the goal of optimizing some objective function or improving performance over time.
• Process Orchestration – Process orchestration refers to the coordination and management of various tasks, activities, and resources within a workflow or business process. It involves organizing, sequencing, and automating individual tasks or sub-processes to ensure that the overall process operates smoothly and efficiently. Process orchestration typically involves integrating disparate systems, applications, and services to streamline operations and improve collaboration across different parts of an organization. It often employs workflow management tools, automation software, and integration platforms to facilitate communication, data exchange, and decision-making among different components of the process. The goal of process orchestration is to optimize the flow of work, minimize delays and bottlenecks, and enhance overall productivity and performance.
• Solution Architecture – Solution architecture is the process of designing and describing the structure and behavior of a comprehensive solution to meet specific business needs. It involves integrating various components, technologies, and processes to create a coherent and efficient system that addresses the identified challenges or requirements.
• Strategic Outlook – Examines issues, generate ideas creates future scenarios and develops plans with a long-term perspective. Ensures short-term goals support long-term strategy and that organizational/functional strategy aligns with and supports MPC’s overall business strategy.
• Systems Thinking – The process of testing conducted on a complete integrated system to evaluate the system's compliance with its specified requirements.

MINIMUM QUALIFICATIONS:

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

As an energy industry leader, our career opportunities fuel personal and professional growth.

Location:

San Antonio, Texas

Additional locations:

Findlay, Ohio, Houston, Texas

Job Requisition ID:

00024789

Location Address:

19100 Ridgewood Pkwy

Education:

Employee Group:

Full time

Employee Subgroup:

Regular

We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.