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SAN FRANCISCO, CA; 102557-CA-333 Market, San Francisco; CHANDLER, AZ; CHARLOTTE, NC; DES MOINES, IA; IRVING, TX; SALT LAKE CITY, UT; MINNEAPOLIS, MN
Source: Wells Fargo careers · View original posting
From Wells Fargo's posting. “We” and “our” refer to the employer.
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 sits at the intersection of artificial intelligence, data, client experience, servicing operations, and payments innovation. As the authoritative source for Sales & Servicing data, you will ensure critical business data is trusted, accessible, governed, and AI-ready.
Success in this role requires deep expertise in sales, client, and servicing data domains, along with a passion for transforming complex data into a strategic asset that powers AI-driven solutions. You will partner closely with AI Domain Leads, engineers, product teams, and governance partners to enable use cases such as sales effectiveness, client insights, servicing automation, intelligent routing, and self-service experiences.
This is a highly visible opportunity for a hands-on data practitioner who thrives in a fast-moving environment and is excited to help shape how AI and intelligent agents leverage data across the organization.
Serve as the subject matter expert for Sales & Servicing data, including CRM, client, servicing interactions, case management, and entitlements data, including sources of record, business definitions, lineage, and downstream consumption.
Act as a trusted advisor to leadership, driving strategic initiatives and influencing data-related decisions across the organization.
Ensure data is complete, discoverable, governed, and AI-ready for analytics, automation, and agentic use cases.
Define, monitor, and improve data quality standards while leading resolution of complex data issues.
Partner with AI Domain Leads and engineering teams to enable high-value 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 drive execution.
Influence and collaborate with leaders, product teams, technology partners, and enterprise data organizations to deliver scalable solutions.
Required Qualifications
7+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
Desired Qualifications
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.
Ability to translate complex data concepts into business insights and recommendations.
Proven partnership skills with business, technology, data, AI, and governance stakeholders.
Ability to work in a fast-paced environment while balancing innovation with risk and control requirements.
Intellectual curiosity and interest in emerging trends across AI, payments, client experience, servicing automation, and digital currencies.
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$139,000.00 - $260,000.00
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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