Data Management Analyst

About this role:

Wells Fargo is seeking a Data Management Analyst

In this role, you will:

• Participate in less complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps
• Adhere to data governance standards and procedures
• Identify data quality metrics and execute data quality audits to benchmark the state of data quality
• Design and monitor data governance, data quality and metadata policies, standards, tools, processes, or procedures to ensure data control and remediation for companywide data management functions
• Support communications with basic documentation related to requirements, design decisions, issue closure, or remediation updates
• Support issue remediation by performing medium risk data profiling, data or business analysis, and data mapping as part of root cause or impact analysis
• Provide support to regulatory analysis and reporting requirements
• Recommend plans for the development and implementation of initiatives that assess the quality of new data sources
• Work with business and technology partners or subject matter professionals to document or maintain business or technical metadata about systems, business or data elements, or data-related controls
• Consult with clients to assess the current state of data quality within area of assigned responsibility

Required Qualifications:

• 2+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Automation:  Proven ability to develop & implement solutions that mitigates risk while driving efficiency. Deliver innovative solutions using PowerAutomate, PowerApps, Alteryx, Python
• Control Testing Expertise: Skilled in testing control design and control evidence.
• Control Management Expertise: Provide end-to-end support of control lifecycle.
• Issue Management: Has a strong understanding of end-to-end issue management lifecycle.
• Root Cause Analysis: Strong analytical skills to identify gaps between controls and processes. Generate insights for gap remediation
• Design & Solution: Strong design & solution mindset.
• Data Management: Strong understanding of data management risks and principles.
• Collaboration & Strategy: Proven ability to work with different teams 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.
• Issue Remediation Expertise: Deep understanding of issue remediation processes, with proven experience partnering with or supporting large‑scale program offices to drive issue identification, tracking, escalation, and resolution.
• Artificial Intelligence: Deep experience with generative AI models, including model prompting, tuning, GenAI environments and Python coding. Experience with enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies.

Job Expectations:

• Actively work on complex enterprise-wide programs and collaborates on strategic initiatives for data governance, data quality and metadata activities.
• Manage and maintain Documentation to support Data Governance and management activities.
• Ability to drive ADS certification end-to-end with minimal supervision.
• Demonstrated expertise in profiling large and complex datasets.
• Strong governance mindset with attention to detail.
• Proven ability to bring transparency and structure to data ecosystems

Posting End Date: 

8 Jul 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.