# Lead Business Execution Consultant at Wells Fargo

Wells Fargo is hiring a Lead Business Execution Consultant in Bengaluru, India. Level rates it Builds AI ●●●●; you can [apply on Wells Fargo](https://jobsbylevel.com/go/9482c5e6-c9e7-4f88-8618-482ef9cf6458?utm_medium=ai-agent).

AI Level 4, AI centrality 80 out of 100. Bengaluru, India.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 4 (score 80 out of 100)
- Location: Bengaluru, India
- Posted: November 2, 2026
- Apply: https://jobsbylevel.com/go/9482c5e6-c9e7-4f88-8618-482ef9cf6458?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-business-execution-consultant-at-wells-fargo-2affa5

## Prepare for this job

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## Description

About this role: Wells Fargo is seeking a Lead Business Execution Consultant to lead and support complex business initiatives that strengthen operational effectiveness, execution discipline, and risk management. This role provides an opportunity to collaborate across teams, drive process improvements, and deliver solutions that support efficient operations and effective controls. The position plays an important part in advancing business priorities while contributing to consistent, customer-focused outcome In this role, you will: Lead the design and execution of data-driven business strategies and cross-functional initiatives aligned with business priorities. Translate complex business challenges into analytics, machine learning, AI, and GenAI solutions that improve decision-making and operational efficiency. Perform exploratory data analysis on large datasets and develop actionable insights and recommendations. Develop and deploy machine learning models for customer behavior, segmentation, personalization, risk and fraud analytics, forecasting, and optimization. Design and implement LLM and GenAI solutions, including NLP pipelines, chatbots, summarization tools, and insight-generation solutions. Develop behavioral analytics frameworks to understand customer segmentation, churn, engagement, funnel performance, and lifetime value. Partner with product and marketing teams to support personalization strategies, experimentation, and A/B testing. Collaborate with data engineering teams to support data quality, pipelines, scalable solutions, and AI model deployment. Partner with senior leaders and cross-functional stakeholders to identify analytics-driven transformation and process improvement opportunities. Present complex insights and recommendations through effective data visualization and storytelling, while providing technical guidance and mentoring to less experienced team members. Required Qualifications: Experience in Data Analytics, Data Science, Machine Learning, Artificial Intelligence, Business Analytics, or Strategy and Execution, demonstrated through work experience, training, military experience, or education. Strong hands-on experience with Python for data manipulation, modeling, analytics, and automation. Experience with SQL and large datasets, including data querying, analysis, and interpretation. Experience developing and implementing machine learning models using tools and libraries such as Scikit-learn, Pandas, and NumPy. Experience with AI/GenAI and LLM solutions, including prompt engineering and model integration. Strong analytical and problem-solving skills with the ability to translate complex business problems into data-driven solutions. Strong communication and stakeholder management skills with experience presenting analytical insights and recommendations. Desired Qualifications: Experience with behavioral analytics, including customer segmentation, cohort analysis, funnel analytics, churn, engagement, and customer behavior modeling. Experience developing NLP, LLM, GenAI, personalization, forecasting, or optimization solutions. Knowledge of AI observability and model monitoring, including tools such as Arize. Experience with Oracle, BigQuery, Alteryx Designer, Power BI, Looker, or Python visualization libraries. Experience working with Azure or GCP environments for data, analytics, or AI model deployment. Experience with A/B testing, experimentation, and personalization strategies. Experience leading cross-functional analytics or transformation initiatives and working with senior stakeholders. Experience providing technical guidance, mentoring, or workstream leadership to team members. Job Expectations: Strong problem-solving and critical thinking. Ability to translate technical concepts for business audiences. Effective stakeholder management and influencing skills. Experience leading cross-functional teams. Business impact from analytics initiatives (revenue, cost savings, efficiency). Adoption of

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Source: https://jobsbylevel.com/jobs/lead-business-execution-consultant-at-wells-fargo-2affa5

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Level. https://jobsbylevel.com/jobs/lead-business-execution-consultant-at-wells-fargo-2affa5.

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