Process Analyst / Discovery Analyst (CAI/ GenAI Focus)

Job Title: Process Analyst / Discovery Analyst (CAI/ GenAI Focus) Experience Required: 7+ years. Job Description: Lead and support discovery initiatives for Generative AI (GenAI) use cases, ensuring comprehensive documentation, data gathering, and analysis for processes in scope. Collaborate with stakeholders to accurately capture business requirements and design current-state and future-state process maps, with a focus on GenAI integration. Identify and prioritize opportunities for GenAI implementation, working closely with business, technology, and analytics teams to track and ensure closure of identified opportunities. Drive end-to-end CAI/IVR/GenAI automation projects, managing the identification, qualification, and execution of opportunities, and producing comprehensive project Cost-Benefit Analyses (CBA). Drive the implementation of GenAI solutions, collaborating with cross-functional teams to ensure alignment with business strategies. Support solution design, implementation, and testing for AI-driven use cases and assist in scaling solutions across the organization. Actively contribute to the development of the Intelligent Automation (IA) and GenAI programs. Engage in Proof of Concepts (POCs) and Proof of Value (POV) initiatives for emerging AI technologies, ensuring successful application within the organization. Skills and Qualifications: Certifications: Lean Six Sigma Green Belt, Value Stream Mapping/Process Mapping Generative AI and Data Science Expertise: Experience identifying and implementing GenAI use cases for automation, natural language processing (NLP), and data science. Experience with RPA tools and AI-driven automation solutions like Blue Prism, UiPath, Automation Anywhere, and PEGA. Expertise with OCR/ICR tools (ABBYY, Kofax, AWS Textract) and NLP technologies (Sentiment Analysis, Amazon Comprehend). Strong foundation in machine learning (ML) and Generative AI tools (e.g., OpenAI GPT, Google Cloud AutoML, IBM Watson, Amazon Lex). Knowledge of data science concepts, including predictive modeling, data analysis, and data visualization (e.g., Tableau, Python). Proven ability to leverage AI and machine learning to enhance business processes. Cross-functional Collaboration: Experience working with large teams to implement AI solutions in alignment with business goals. Preferred Skills: Strong analytical and problem-solving skills, particularly in AI-driven automation. Experience in leading AI/ML solution design and implementation. Ability to lead discussions with business and technology stakeholders to drive AI adoption. Excellent communication skills, with experience leading teams of 10+ members