Sr Analyst IT Business

As a Sr Analyst IT Business, your role involves leading business process reviews and providing recommendations to ensure processes, systems, and documentation align with changing business conditions and requirements. You will be responsible for gathering business requirements, conducting system and process analysis, designing, supporting testing, and prototyping for large cross-functional complex projects. Additionally, you will lead the design and implementation of automation solutions across business functions, leveraging RPA tools to enhance efficiency and drive stakeholder engagement. Key Responsibilities: - Collaborate with technology partners to design and deliver automation solutions utilizing RPA, Python, and AI/ML components. - Analyze business processes, identify automation opportunities, and create solution architectures with cognitive and predictive elements. - Lead technical design, conduct code reviews, and ensure adherence to automation best practices and enterprise architecture standards. - Enhance and optimize existing automations by integrating machine learning models or AI APIs where applicable. Utilize AI tools such as OCR engines, language models, and classification/prediction models to build intelligent workflows. - Conduct monthly stakeholder meetings to monitor business demand, pipeline, and discuss potential automation initiatives. - Track all work in Rally or equivalent project tracking tool, providing regular reporting and documentation. - Guide and manage the automation support team, ensuring timely incident resolution, root cause analysis, and continuous improvement. Qualifications Required: - Bachelor's in a relevant field of work or an equivalent combination of education and work-related experience. - SAFe PO/PM certification preferred. - SAFe Agilist certification preferred. - Strong proficiency in Automation tools and capabilities, preferably BP, UIP, MS PA, etc. - Advanced Python programming skills, including experience with automation, APIs, and data handling libraries (e.g., pandas, NumPy). - Exposure to AI/ML concepts such as model building, classification, regression, clustering, and NLP techniques. Familiarity with machine learning frameworks is a plus. - Experience with intelligent document processing, LLM integration, and cognitive automation is a plus (e.g., chatbots & smart decisioning). - Understanding of integration technologies like REST/SOAP APIs, databases, and enterprise platforms. Experience with Microsoft Power Platform tools like Power Apps, Power Automate, and Power BI is beneficial. If you believe you possess most of the requirements and are enthusiastic about this opportunity, don't hesitate to hit the "Apply" button and start your journey with us today.,