Lead Business Execution Consultant

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 AI/ML solutions across teams.
• Accuracy and scalability of models deployed.
• Stakeholder satisfaction and engagement.

Posting End Date:

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

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