CIB Finance Markets Data Engineer - Executive Director

Wells Fargo Bank•New York, NY

11h•Hybrid

About The Position

Wells Fargo is seeking a Senior Lead Analytics Consultant to join the CIB Finance Analytics & Insights team. The role leads the design and execution of enterprise-scale data, analytics, and AI solutions that enable faster decision-making across Corporate & Investment Banking Finance. It is a strategic leadership position covering data acquisition, engineering, governance, curation, analytics enablement, and AI adoption, in partnership with Finance, Technology, Data Management, and business stakeholders. The successful candidate will establish trusted data foundations, modernize reporting ecosystems, and deploy AI-powered solutions to improve productivity, insight generation, and operational efficiency. The role also leads cross-functional teams delivering visible enterprise data transformation programs and influences senior leaders on strategic data and AI initiatives. The position is hybrid and requires willingness to work on-site at the stated New York location. It is not eligible for visa sponsorship.

Requirements

7+ years of Analytics, Reporting, Financial Modeling, or Statistics experience, or equivalent demonstrated through work experience, training, military experience, or education.
Willingness to work on-site at the stated location; the position has a hybrid schedule.

Nice To Haves

7+ years designing and implementing enterprise data solutions, including data engineering, data warehousing, data management, or analytics platforms.
5+ years building and optimizing ETL/ELT pipelines using SQL, Python, Spark, or comparable technologies.
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.
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, including the 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.

Responsibilities

Lead the design and implementation of scalable data architectures, pipelines, and curated datasets for Finance, Markets, Banking, and enterprise reporting.
Establish and govern reusable data assets through sourcing, procurement, integration, quality controls, lineage, metadata management, and business definitions.
Develop strategies to modernize legacy reporting with 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 as a single source of truth.
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.
Build AI-ready data foundations through 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.
Drive development of analytical products, data marts, and reusable datasets for executive reporting, planning, client analytics, profitability analysis, and strategic decisions.
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 enterprise data transformation programs.
Ensure adherence to enterprise data governance, risk management, security, compliance, and regulatory standards.