Senior Lead Business Execution Consultant – Sales & Servicing Data Domain Expert
Wells Fargo is hiring a Senior Lead Business Execution Consultant – Sales & Servicing Data Domain Expert in San Francisco, United States. Level rates it ; you can apply on Wells Fargo.
Level's read on this job
- Level rates this AI consultant role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Databricks, data governance and crm among its tools and skills.
- Level classes it as a lead role.
- Wells Fargo has 1,600+ other open roles on Level.
- Posted in the last few days.
AI in this role
Serve as the Sales & Servicing Data Domain Expert ensuring critical data is governed and AI-ready.
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.
In this role, you will:
- 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
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
5 Nov 2026*Job posting may come down early due to volume of applicants.
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.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
How we rate this
Senior Lead Business Execution Consultant – Sales & Servicing Data Domain Expert at Wells Fargo rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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- $152k
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Questions you could be asked
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where crm was part of your work. What did you do?
- Tell me about a project where data quality was part of your work. What did you do?
- Tell me about a project where metadata management was part of your work. What did you do?
- Tell me about a project where ai readiness was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Governance, CRM, Data Quality, Metadata Management, and AI Readiness. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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