Senior Lead Business Execution Consultant – Sales & Servicing Data Domain Expert

Wells Fargo & Company•Minneapolis, MN

2d•$139,000 - $260,000

About The Position

Wells Fargo is seeking a Senior Lead Business Execution Consultant to serve as the Data Domain Expert for Sales & Servicing within AI & Data, Global Payments & Liquidity (GPL). This role is at the intersection of artificial intelligence, data, client experience, servicing operations, and payments innovation. The position serves as the authoritative source for Sales & Servicing data, ensuring it is trusted, accessible, governed, and ready for AI use. The role requires deep expertise in sales, client, and servicing data domains and a commitment to turning complex data into a strategic asset for AI-driven solutions. The consultant partners with AI Domain Leads, engineers, product teams, governance partners, leadership, and enterprise data organizations to support use cases including sales effectiveness, client insights, servicing automation, intelligent routing, and self-service experiences. This is a highly visible, hands-on data practitioner role in a fast-moving environment, helping shape how AI and intelligent agents use organizational data.

Requirements

7+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination.
Ability to work in a fast-paced environment while balancing innovation with risk and control requirements.
Ability to translate complex data concepts into business insights and recommendations.
Proven partnership skills with business, technology, data, AI, and governance stakeholders.

Nice To Haves

Strong expertise with CRM, client, sales, servicing, case management, or entitlements data in a banking or financial services environment.
Experience with data quality, metadata, lineage, and data governance practices.
Strong SQL skills and experience with modern data platforms such as Snowflake, Databricks, Hive, GCP, or similar technologies.
Experience supporting AI, advanced analytics, or data-driven business solutions.
Knowledge of treasury sales and servicing operations, client lifecycle management, servicing workflows, or case management processes.
Ability to prepare and manage data for AI-enabled use cases through effective metadata, documentation, and governance practices.
Intellectual curiosity and interest in emerging trends across AI, payments, client experience, servicing automation, and digital currencies.

Responsibilities

Serve as the subject matter expert for Sales & Servicing data, including CRM, client, servicing interactions, case management, and entitlements data, and document sources of record, business definitions, lineage, and downstream consumption.
Advise leadership, drive strategic initiatives, and influence data-related decisions across the organization.
Ensure data is complete, discoverable, governed, and ready for analytics, automation, and agentic use cases.
Define, monitor, and improve data quality standards and lead resolution of complex data issues.
Partner with AI Domain Leads and engineering teams to enable use cases such as sales effectiveness, client insights, servicing automation, intelligent request routing, and self-service servicing experiences.
Support integration of Sales & Servicing data with CRM platforms, servicing applications, and the Managed Data & AI Services platform.
Collaborate with Data Governance teams to strengthen metadata management, cataloging, lineage, controls, and compliance with enterprise policies.
Translate complex technical data concepts into business-relevant insights and actionable recommendations.
Lead cross-functional discussions, working groups, and steering committees to facilitate decision-making and execution.
Collaborate with leaders, product teams, technology partners, and enterprise data organizations to deliver scalable solutions.
Follow applicable Wells Fargo risk programs, policies, procedures, and compliance obligations; monitor, identify, escalate, and remediate issues and make sound risk decisions.