Senior Solution Architect, Enterprise Platforms

The Senior Solution Architecture position will be aligned to the ServiceNow Enterprise Platform team and will work with other Solution Architects as well as agile teams to understand where “the business of IT” should adopt or evolve their use of ServiceNow, then work with the ServiceNow Product Manager to establish appropriate strategic roadmaps and architectural runway for the Enterprise Platform team to target. This position will work with the business to translate expected outcomes into solution architectures and solution process designs/flows that appropriately bridge ServiceNow with other enterprise platforms and will deliver actionable Agile stories for integration requests and drive cross platform/business unit outcomes, iterative delivery options, and priority alignment.

The Senior Solution Architecture position resides in the Cybersecurity Infrastructure organization and is expected to have solid awareness of technologies within this space (Cybersecurity, Cloud, Core Infrastructure, Infrastructure as Code, DevSecOps, End User Computing) as well as IT disciplines supporting the business.  Solutioning broadly across these disciplines and ensuring proper integration across enterprise systems and within ServiceNow.

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.

• Define and drive the overall solution architecture strategy and roadmap for business initiatives.

• Serve as a coordinating architectural advisor for cross-functional solution delivery, ensuring cohesive, value-driven designs through engagement with business stakeholders, Enterprise Architecture, Solution and System Architects, and the ServiceNow Enterprise Platform Product Manager.

• Ensure solutions are scalable, maintainable, and aligned with business and architecture strategies, while driving data integrity and governance through process evolution and adoption.

• Mentor and guide teams in solution architecture best practices across applicable Architecture Domains (Business, Application, Technology. Information and Security architecture).

• Resolve complex integration and alignment challenges across systems.

• Help understand and Design appropriate mining interfaces for data reuse (end user reports, system to system integrations, APIs, ETL, etc).

• Represent solution architecture in business and IT strategy discussions, collaborating with IT Business Units and Cybersecurity Infrastructure enablement teams to identify opportunities, prioritize demand, and funnel approved initiatives into the technology roadmap and backlog.

• Bridge business needs and technical implementation, ensuring solutions solve the core business problem.

• Bachelor’s degree in information technology, related field or equivalent experience required.

• Five (5) or more years of relevant IT experience, including two (2) or more years of relevant architecture experience required.

• Experience with ServiceNow platform capabilities, including architecture principles, process design, development standards, and best practices across modules such as CMDB, Discovery, Strategic Portfolio Management, Service Management, Employee Center, HRSD, Asset Management, and Operations Management (including full AIOps stack) strongly preferred.

• Experience working with agile teams and principles, preferred.

• 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 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 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. 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, generates 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 ability to analyze complex systems and understand their interdependencies, considering both technical and business aspects, to develop comprehensive and scalable architectures.

Travel Expected: Conferences, training, or project workshops as necessary. Up to 10% total.