Customer Data Strategy Manager - Data Rationalization Manager

Wells Fargo Bank•Charlotte, NC

18h•Hybrid

About The Position

Wells Fargo is seeking a Customer Data Strategy Manager - Data Rationalization Manager to join the Enterprise Data Simplification and Management team, leading critical Data Source Rationalization and Customer ADS Strategy initiatives that enable the execution of Wells Fargo’s Enterprise Data Strategy. This role provides centralized leadership and oversight to assess and rationalize thousands of enterprise data sources, providing guidelines to businesses on improving sourcing practices, and ensuring businesses have documented roadmaps that accelerate adoption of trusted Authorized Data Sources (ADS) for use cases. In parallel, this leader will partner with Business Data Strategy owners across the enterprise to shape and deliver a compelling customer data strategy business case and own the requirements for customer data.

Requirements

7+ years of Data Management, Business Research, Analytics, or Project Management or leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years of management or leadership experience

Nice To Haves

Data Management Expertise: Strong understanding of data management risks and principles.
Leadership & Strategy: Proven ability to lead large efforts and drive transformation initiatives.
Stakeholder Engagement: Skilled in building global relationships and influencing across leadership levels .
Communication & Collaboration: Exceptional written and verbal communication skills; effective in matrixed environments with competing priorities.
Execution & Accountability: Delivers high-quality outcomes, takes ownership of results, and consistently meets deadlines under pressure.
Analytical Thinking: Synthesizes data to inform decisions and balances innovation with practical execution.

Responsibilities

Act as an advisor to leadership to develop or influence objectives , plans, specifications, resources, and long-term goals for highly complex business and technical needs
Design and conduct highly complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Evaluate data quality metrics and data quality audits to benchmark the state of data quality
Provide vision, direction, and expertise to senior leadership on implementing innovative and significant business solutions
Recommend remediation of process or control gaps that align to management strategy
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Represent client in cross-functional groups to develop companywide data governance strategies
Partner with groups companywide to coordinate and drive collaboration on solution design and remediation execution
Manage and develop teams of individual contributors in roles with moderate complexity to ensure there is appropriate talent development to meet business objectives , where needed