Senior Solution Architect, Midstream Operations

Senior Solution Architect, Midstream Operations

locations

San Antonio, Texas

Houston, Texas

Denver, Colorado

Texas City, Texas

Skills

• Adaptability - Maintaining effectiveness when experiencing major changes in work responsibilities or environment (e.g., people, processes, structure, or culture); adjusting effectively to change by exploring the benefits, trying new approaches, and collaborating with others to make the change successful.
• 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 - Change Management refers to a systematic approach for defining and implementing procedures and/or technologies to deal with changes in the environment. It can mean adapting to change, controlling change and/or effecting change.
• Agile Methodology - Agile project management is an iterative approach to delivering a project throughout its life cycle, taking incremental steps towards 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, 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 pas 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. 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, generates ideas, creates future scenarios and develops plans with a long-te