Act as the subject matter expert for Methods applications and AI-enabled tools, maintaining a clear view of the organization’s technology landscape.
Partner with cross-functional teams (Production, Quality, Methods, Planning, Health & Safety, Customer Delivery) to identify operational needs and opportunities for digital enablement.
Lead application portfolio assessments to identify redundancies, gaps, and opportunities to consolidate, standardize, or retire tools.
Establish and enforce governance for tool selection and adoption, including the evaluation and approval of any new applications to ensure alignment with enterprise standards and IT strategy.
Deploy and integrate new and existing AI models into enterprise systems, including SAP S/4HANA. Ensure performance, scalability and responsiveness of AI-powered applications to drive measurable business value.
Contribute to model lifecycle management, including monitoring, evaluation and continuous improvement. (fix responsibilities so that it's not deployment and desgining but more with feedback above and notes)
Maintain clean, modular and well-documented code following best practices.
Engage with business stakeholders to gather requirements, incorporate feedback, and translate them into effective technical solutions.
Stay current on advancements in AI/ML and Software Engineering to proactively introduce relevant innovations to the organization.

You have 10+ years of experience in solution architecture, enterprise systems, or application landscape management, including experience with AI and data-driven technologies.
You have a Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related technical field.
You have strong proficiency in Python, SQL, React, PySpark, REST APIs, and full-stack integration.
You have hands-on experience implementing machine learning models, including time series forecasting, predictive analytics, image recognition, and natural language processing (NLP).
You have experience with cloud platforms, preferably Microsoft Azure, including Azure Databricks, Azure Machine Learning, AI Foundry, App Services, AKS, and Blob Storage.
You have proficiency with Agile methodologies, Azure DevOps, and application lifecycle management tools.You have experience scripting in Linux and/or PowerShell.
You have strong analytical thinking, problem-solving skills, and the ability to make sound decisions.
You have excellent verbal and written communication skills, with the ability to present technical concepts to both technical and business stakeholders.

AI Software Senior Analyst

Description