Consumer Modeling Development Center - Lead

Role Overview: As the Consumer Modeling Development Center Leader at Wells Fargo, you will be responsible for managing teams within the CMDC with competencies in Modeling, Artificial Intelligence, and Gen AI. Your role will involve providing technical and thought leadership to the team for performing advanced quantitative and statistical analysis of large datasets to identify trends and patterns to improve business performance. You will also oversee the development of predictive modeling algorithms and apply critical thinking skills to solve complex business problems. Additionally, you will generate actionable recommendations by analyzing data and operational processes. Your leadership in this role is crucial for supporting AI, ML, and Gen AI teams and driving technical skill and knowledge building within the CMDC team and the broader organization. Key Responsibilities: - Support AI, ML, and Gen AI teams with advanced know-how in blending theory and practice - Provide technical and thought leadership for performing advanced quantitative and statistical analysis - Oversee the development of predictive modeling algorithms using statistical tools and optimization techniques - Apply critical thinking skills to solve complex business problems and generate actionable recommendations - Collaborate with innovation groups within Wells Fargo and across the industry - Lead the technical skill and knowledge building of the CMDC team and the broader organization Qualifications Required: - 18 years of experience in List Management/Generation, Data Analytics, AI/ML, Predictive Modeling - PhD or masters degree in quantitative disciplines - 12 years of management experience - 10 years of experience in Banking, Financial Services Industry, or Consumer business - Hands-on experience in building large-scale machine learning systems using Scala, Java, or Python - Knowledge of parallel and distributed computing frameworks such as Hadoop, Spark, MPI - Experience in machine learning areas such as recommender systems, NLP, pattern recognition, predictive modeling, Artificial Intelligence - Ability to guide, mentor, and provide technical assistance to the team - Experience in establishing teams and work processes aligned with agile methodologies - Excellent verbal and written communication skills (Note: The additional details of the company were not present in the provided job description.) Role Overview: As the Consumer Modeling Development Center Leader at Wells Fargo, you will be responsible for managing teams within the CMDC with competencies in Modeling, Artificial Intelligence, and Gen AI. Your role will involve providing technical and thought leadership to the team for performing advanced quantitative and statistical analysis of large datasets to identify trends and patterns to improve business performance. You will also oversee the development of predictive modeling algorithms and apply critical thinking skills to solve complex business problems. Additionally, you will generate actionable recommendations by analyzing data and operational processes. Your leadership in this role is crucial for supporting AI, ML, and Gen AI teams and driving technical skill and knowledge building within the CMDC team and the broader organization. Key Responsibilities: - Support AI, ML, and Gen AI teams with advanced know-how in blending theory and practice - Provide technical and thought leadership for performing advanced quantitative and statistical analysis - Oversee the development of predictive modeling algorithms using statistical tools and optimization techniques - Apply critical thinking skills to solve complex business problems and generate actionable recommendations - Collaborate with innovation groups within Wells Fargo and across the industry - Lead the technical skill and knowledge building of the CMDC team and the broader organization Qualifications Required: - 18 years of experience in List Management/Generation, Data Analytics, AI/ML, Predictive Modeling - PhD or masters degree in quantitative disciplines - 12 years of management experience - 10 years of experience in Banking, Financial Services Industry, or Consumer business - Hands-on experience in building large-scale machine learning systems using Scala, Java, or Python - Knowledge of parallel and distributed computing frameworks such as Hadoop, Spark, MPI - Experience in machine learning areas such as recommender systems, NLP, pattern recognition, predictive modeling, Artificial Intelligence - Ability to guide, mentor, and provide technical assistance to the team - Experience in establishing teams and work processes aligned with agile methodologies - Excellent verbal and written communication skills (Note: The additional details of the company were not present in the provided job description.)