Lead Data Product Manager

Wells Fargo•Irving, TX

1d•$119,000 - $224,000•Hybrid

About The Position

Wells Fargo is seeking a Lead Data Product Manager to lead the strategy, adoption, and execution of critical data enablement capabilities that improve metadata management, data quality, and AI data readiness across Consumer Business Lines (CBL). This leader will play a key role in advancing Wells Fargo's customer data strategy by ensuring data products are trusted, governed, discoverable, and ready to support analytics, machine learning, and AI-driven experiences. The role will focus on identifying opportunities to improve data quality, metadata, governance, and operational processes while driving enterprise-scale solutions from concept through implementation. The ideal candidate is a highly motivated self-starter who thrives in ambiguity, operates independently, and proactively identifies opportunities to create business value. They possess a strong blend of product management, data management, strategic thinking, and execution excellence, with the ability to influence senior stakeholders, align cross-functional teams, and drive initiatives to successful completion. This leader will partner closely with business, technology, architecture, governance, risk, compliance, and operations teams to define product strategy, build roadmaps, prioritize investments, and deliver solutions that improve customer experiences, strengthen controls, and accelerate enterprise AI adoption. Learn more about the career areas and lines of business at wellsfargojobs.com.

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

Experience leading enterprise data product, data governance, data quality, metadata, or data management initiatives within a complex organization.
Experience supporting AI, machine learning, analytics, or digital transformation programs through improved data capabilities and governance practices.
Demonstrated ability to define strategy, build roadmaps, and drive execution in ambiguous or evolving environments.
Proven success influencing senior leaders and building alignment across business, technology, governance, risk, and operations teams.
Strong understanding of data governance, metadata management, data quality, data lineage, and customer data management principles.
Ability to translate complex technical concepts into actionable business strategies, executive recommendations, and measurable outcomes.
Strong analytical, strategic thinking, prioritization, and problem-solving skills with a focus on delivering business value.

Responsibilities

Own the strategy and roadmap for metadata, data quality, AI data readiness, and related customer data capabilities.
Proactively identify opportunities, define solutions, build business cases, and drive initiatives from concept through implementation.
Partner with business and technology leaders to improve the quality, usability, governance, and value of customer data.
Drive adoption of data management capabilities that improve data trust, transparency, regulatory compliance, and AI enablement.
Prioritize investments and product decisions based on business value, customer impact, risk reduction, and strategic alignment.
Influence stakeholders across a complex organization to build alignment, remove obstacles, and accelerate delivery.
Establish metrics and outcomes that demonstrate product adoption, operational improvement, and business value.
Promote a culture of ownership, innovation, data-driven decision making, and continuous improvement.