Senior Solution Architect

Position Summary

An exciting career awaits youAt 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 Summary This Solution Architect role will be instrumental in developing strategies and designing innovative technology solutions to optimize and improve the design and deployment of asset health monitoring and equipment reliability solutions (e.g. Predictive Maintenance and Production Optimization) that 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.

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.

• 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.

• Bachelor’s Degree in Information Technology, related field, or equivalent experience required.
• 5+ years of relevant architecture experience required.
• Experience with time series operational and sensor data is preferred
• Deep understanding of asset integrity management (AIM) frameworks, including condition-based maintenance, risk-based inspections, and failure mode and effects analysis (FMEA) is preferred
• Experience with SCADA and industrial IOT technologies is preferred
• Experience integrating data from OT to IT systems is preferred

• 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…