Customer Information Management - Lead Data Product Management Consultant

Wells Fargo & Company•Minneapolis, MN

4d•$119,000 - $206,000•Hybrid

About The Position

About this role: Wells Fargo is seeking a Lead Data Product Management Consultant in Customer Information Management as part of Consumer, Small and Business Banking. Customer Information Management product is accountable for enabling Wells Fargo lines of business by providing high quality customer data for consumption and maintenance through system-to-system interfaces. As a key contributor to product strategy and technical execution, you’ll work hands‑on with complex datasets, collaborate with cross‑functional partners, and shape scalable data solutions that align with business priorities, governance standards, and long‑term platform capabilities. This position is ideal for someone who excels at bridging data analysis, product leadership, and strategic decision‑making in a dynamic, highly regulated environment. Learn more about the career areas and lines of business at wellsfargojobs.com. In this role, you will: Lead complex data product initiatives, including cross‑functional efforts with broad organizational impact, and serve as a key contributor to large‑scale planning that advances enterprise data enablement and platform capabilities. Directly interrogate customer data using a variety of technical approaches (e.g., SQL and related technologies) to support product decisions and regulatory initiatives. Apply strong technical skills and customer data domain knowledge to perform in‑depth data analysis, identify data quality issues and gaps, and define target logic supporting customer data modernization. Review and analyze complex, multi‑faceted data product initiatives that may span longer time horizons or involve ambiguous or unprecedented factors, while ensuring alignment with established data governance, standards, and controls. Make informed decisions in complex scenarios by leveraging a solid understanding of data, analytics, and integration needs of line‑of‑business partners to influence prioritization, roadmaps, and architectural direction. Collaborate strategically with peers, colleagues, and mid‑level to senior leaders across product, data management, engineering, and architecture teams to design high‑quality, scalable data products and analytics solutions. Provide strategic input into new use‑case intake, prioritization, and product roadmap definition, ensuring alignment to business value and enterprise data strategy. Manage and curate complex datasets with a continuous focus on downstream consumers and business use cases, while adhering to data governance and quality standards. Create and maintain product roadmaps across the full product lifecycle, including detailed specifications, requirements, and data flows for data capabilities. Serve as a strategic liaison between data management, product, data engineering, and architecture teams throughout the product lifecycle.

Requirements

5+ years of data product or data management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

3+ years of hands‑on data analysis experience, including querying and analyzing large datasets using technologies such as SQL, Spark, and/or Python.
Experience within financial services, particularly in highly regulated enterprise environments.
Strong customer data domain knowledge, with prior experience working with customer, party, or identity‑related data considered a significant plus.
Demonstrated ability to bridge business needs and technical implementation through data‑driven analysis and clear communication.
Experience using AI tools to refine Features and backlogs.

Responsibilities

Lead complex data product initiatives, including cross‑functional efforts with broad organizational impact, and serve as a key contributor to large‑scale planning that advances enterprise data enablement and platform capabilities.
Directly interrogate customer data using a variety of technical approaches (e.g., SQL and related technologies) to support product decisions and regulatory initiatives.
Apply strong technical skills and customer data domain knowledge to perform in‑depth data analysis, identify data quality issues and gaps, and define target logic supporting customer data modernization.
Review and analyze complex, multi‑faceted data product initiatives that may span longer time horizons or involve ambiguous or unprecedented factors, while ensuring alignment with established data governance, standards, and controls.
Make informed decisions in complex scenarios by leveraging a solid understanding of data, analytics, and integration needs of line‑of‑business partners to influence prioritization, roadmaps, and architectural direction.
Collaborate strategically with peers, colleagues, and mid‑level to senior leaders across product, data management, engineering, and architecture teams to design high‑quality, scalable data products and analytics solutions.
Provide strategic input into new use‑case intake, prioritization, and product roadmap definition, ensuring alignment to business value and enterprise data strategy.
Manage and curate complex datasets with a continuous focus on downstream consumers and business use cases, while adhering to data governance and quality standards.
Create and maintain product roadmaps across the full product lifecycle, including detailed specifications, requirements, and data flows for data capabilities.
Serve as a strategic liaison between data management, product, data engineering, and architecture teams throughout the product lifecycle.