CIB Finance Markets Data Engineer - Executive Director

Wells Fargo & Company•Charlotte, NC

1d•$139,000 - $260,000•Hybrid

About The Position

Wells Fargo is seeking a Senior Lead Analytics Consultant to join the CIB Finance Analytics & Insights team. This role leads the design and execution of enterprise-scale data, analytics, and AI solutions that enable faster decision-making across Corporate & Investment Banking Finance. The position provides strategic leadership for data acquisition, engineering, governance, curation, analytics enablement, and AI adoption, partnering with 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. The role leads enterprise data transformation initiatives and cross-functional teams, aligns senior stakeholders on strategic data and AI priorities, evaluates emerging technologies, and ensures compliance with data governance, risk, security, regulatory, and other applicable standards. The position offers a hybrid work schedule and requires willingness to work on-site at a stated location. Posting locations are Charlotte, North Carolina, and San Francisco, California. The role is not eligible for visa sponsorship.

Requirements

At least 7 years of Analytics, Reporting, Financial Modeling, or Statistics experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination.
Willingness to work on-site at a stated location; the position has a hybrid work schedule.
The position is not eligible for visa sponsorship.

Nice To Haves

At least 7 years designing and implementing enterprise data solutions, including data engineering, data warehousing, data management, or analytics platforms.
At least 5 years building and optimizing ETL/ELT pipelines using SQL, Python, Spark, or comparable technologies.
At least 5 years 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.
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.
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.
Ability to lead enterprise-scale data transformation, reporting modernization, or AI adoption initiatives.
Ability to influence senior executives and translate business strategy into scalable data and technology solutions.
Strong communication skills, including simplifying 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.

Responsibilities

Lead 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 through sourcing, procurement, integration, quality controls, lineage, metadata management, and business definitions.
Develop strategies to modernize legacy reporting environments using cloud data platforms, automation, and self-service analytics.
Partner with Technology and Data Management teams to define the enterprise data model and centralized data products serving as a single source of truth for analytical consumers.
Identify opportunities to reduce manual work through workflow automation, AI-enabled solutions, and intelligent data engineering.
Lead 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 through quality, consistency, governance, semantic modeling, and contextual documentation.
Establish best practices for prompt engineering, AI workflow development, reusable AI skills, and responsible AI implementation.
Drive development of enterprise analytical products, data marts, and reusable datasets for executive reporting, planning, client analytics, profitability analysis, and strategic decision-making.
Evaluate emerging data and AI technologies and recommend 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 delivering visible enterprise data transformation programs.
Ensure adherence to enterprise data governance, risk management, security, compliance, and regulatory standards.