About the role
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About This Role
Wells Fargo is seeking a Senior Lead Analytics Consultant to join the CIB Finance Analytics & Insights team. Learn more about the career areas and lines of business at wellsfargojobs.com . This role will lead the design and execution of enterprise-scale data, analytics, and AI solutions that enable faster decision making across Corporate & Investment Banking Finance.
The successful candidate will serve as a strategic leader responsible for data acquisition, engineering, governance, curation, analytics enablement, and AI adoption. This individual will partner across Finance, Technology, Data Management, and business stakeholders to establish trusted data foundations, modernize reporting ecosystems, and deploy AI-powered solutions that improve productivity, insight generation, and operational efficiency.
In This Role, You Will
Lead the design and implementation of scalable data architectures, pipelines, and curated datasets supporting Finance, Markets, Banking, and enterprise reporting initiatives.
Establish and govern trusted, reusable data assets by driving data sourcing, procurement, integration, quality controls, lineage, metadata management, and business definitions.
Develop and execute strategies to modernize legacy reporting environments through cloud-based data platforms, automation, and self-service analytics capabilities.
Partner with Technology and Data Management teams to define the enterprise data model and centralized data products that serve as the single source of truth for analytical consumers.
Identify opportunities to reduce manual processes through workflow automation, AI-enabled solutions, and intelligent data engineering practices.
Lead the adoption and responsible use of generative AI, machine learning, and Copilot capabilities across Finance use cases, including reporting, analysis, reconciliations, documentation, and decision support.
Build AI-ready data foundations by ensuring data quality, consistency, governance, semantic modeling, and contextual documentation.
Establish best practices for prompt engineering, AI workflow development, reusable AI skills, and responsible AI implementation across analytical teams.
Drive development of enterprise analytical products, data marts, and reusable datasets that support executive reporting, planning, client analytics, profitability analysis, and strategic decision-making.
Evaluate emerging data and AI technologies and provide recommendations regarding architecture, investment priorities, and implementation roadmaps.
Influence senior leaders across Finance, Technology, Data Management, and Business Lines to align on strategic data and AI initiatives.
Lead cross-functional teams responsible for delivering highly visible enterprise data transformation programs.
Ensure adherence to enterprise data governance, risk management, security, compliance, and regulatory standards.
Required Qualifications:
7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
Desired Qualifications
7+ years of experience designing and implementing enterprise data solutions, including data engineering, data warehousing, data management, or analytics platforms.
5+ years of experience building and optimizing ETL/ELT pipelines using SQL, Python, Spark, or comparable technologies.
5+ years of experience leading large-scale data sourcing, integration, cleansing, and data quality initiatives across multiple systems.
Experience with modern cloud data platforms such as Microsoft Fabric, Azure, Snowflake, Databricks, or equivalent technologies.
Advanced SQL and data modeling expertise, including dimensional modeling, performance optimization, and data architecture design.
Demonstrated experience delivering analytics insights for CIB Markets businesses, including Equities, Rates, FX, Commodities, Structured Products, and Municipal Securities.
Experience implementing AI-enabled analytical solutions using generative AI platforms, LLMs, machine learning, or intelligent automation technologies.
Experience developing and governing enterprise semantic models, curated datasets, data marts, or data products.
Demonstrated experience developing reusable AI workflows, prompt frameworks, AI skills, or automation capabilities that materially improve productivity.
Experience establishing data governance frameworks, metadata standards, lineage practices, and data quality controls.
Strong understanding of Finance, Banking, Capital Markets, Client Profitability, or Risk reporting data domains.
Proven ability to lead enterprise-scale initiatives involving data transformation, reporting modernization, or AI adoption.
Experience influencing senior executives and translating business strategy into scalable data and technology solutions.
Strong communication skills with demonstrated ability to simplify complex technical concepts for executive audiences.
Experience supporting Corporate & Investment Banking Finance organizations.
Experience with Microsoft Fabric, Power BI, Dremio, GitHub Copilot, and Tableau.
Experience building AI-assisted analytics solutions.
Knowledge of financial products, client profitability, capital allocation, funding, treasury, or Markets reporting.
Job Expectations:
Willingness to work on-site at stated location on the job opening.
This position offers a hybrid work schedule.
This position is not eligible for Visa sponsorship.
Posting Locations:
150 E 42nd Street New York, NY
New York - New York Pay Range: $167,000.00 - 260,000.00 USD Annual
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.
$167,000.00 - $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:
24 Oct 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.