Vice President - Lead Data Management Analyst

About this role:
Wells Fargo is seeking a Lead Data Management Analyst
In this role, you will:

• Organize and lead complex companywide initiatives to ensure that data quality is maintained so that data can effectively support business processes
• Oversee analysis and reporting in support of regulatory requirements
• Identify and recommend analysis of data quality or integrity issues
• Evaluate data quality metrics and data quality audits to benchmark the state of data quality
• Make decisions in complex and multi-faceted situations requiring solid understanding of data governance standards and procedures
• Identify new data sources and develop recommendations for assessing the quality of new data
• Lead project teams and mentor less experienced staff members
• Recommend remediation of process or control gaps that align to management strategy
• Serve as relationship manager for a line of business
• Consult with and provide recommendations to senior management regarding assessments of the current state of data and metadata quality within area of assigned responsibility
• Represent client in cross-functional groups to develop companywide data governance strategies
• Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to coordinate and drive collaboration on solution design and remediation execution

Required Qualifications:

• 5+ 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:

• Master's degree in finance, statistics, engineering.
• Data Management, Business Analysis, Analytics, Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Experience in SQL, MS Access, Ab Initio Express IT, Informatica, Metadata Hub, Collibra, Power BI and Alteryx
• Experience in Data related platforms/tools and Data Management, Collibra, Abnitio preferred
• Experience with Metadata/Data dictionaries management including technical/business
• content and data lineage
• Experience with Data Quality principals or monitoring
• Experience in Data mapping and data profiling
• Solid experience with MS Excel.

Job Expectations:

• The role requires a developed understanding of enterprise finance applications, complex data management and understanding the system architecture, viz. CARD, FDLZ, MOSART, Hyperion, OLAP
• Should have expert level knowledge on Enterprise Metadata Hub, Collibra, Power BI and Alteryx
• Hands on experience on Data mapping, Lineage, Data Dictionaries and Data management concepts.
• Manage and supervise day-to-day operations of a team.
• Recommend operational improvements.
• Plan, direct and evaluate workflow, assignments and distribution
• Lead stakeholder development by maintaining ongoing interaction that increases their awareness, understanding, accountability, and engagement in the reporting process.
• Lead implementation of complex projects and initiatives impacting one or more lines of
• Business
• Ensure compliance and risk management requirements for supported area are met and
• works with other stakeholders to implement key risk initiatives.
• Collaborate and influence all levels of professionals including more experienced managers.
• Lead team to achieve objectives and monitor BAU of individuals according to established standards.
• Train and coach individuals.
• Manage allocation of people and financial resources for Data Management
• Mentor and guide talent development of other team members.
• Ability to lead and mentor colleagues.
• Experience in leading complex data management programs/assignments
• Experience in working with remote teams.
• Experience in facilitating and hosting working group sessions.
• Excellent verbal, written, and interpersonal communication skills.

Posting End Date:
14 Dec 2025
*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.