- About this role:Wells Fargo is seeking a Data Management Senior Manager In this role, you will:
- Manage and develop teams of individual contributors and managers in roles with moderate complexity focused on defining data quality requirements and delivering on data integrity initiatives
- Manage the research, insights, and data quality strategies for a functional area with impact across the business
- Ensure the design and implementation of initiatives to achieve goals within assigned line of business or businesses
- Determine appropriate strategy and actions of team regarding the development of audits and controls structured around business processes, data quality target state, standards for metadata content and documentation
- Required Qualifications:
- 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
- Develop and maintain a roadmap for line of business data quality target state
- Define measurement standards
- Interpret and develop policies and procedures ensuring adherence to a data integrity governance framework
- Collaborate with and influence all levels of professionals including senior managers to achieve consistent agreement and application of definitions, measurements, and interpretation
- Serve as liaison to leadership to ensure data integrity strategy is aligned with business strategy
- Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives
- Develop and guide a culture of talent development to meet business objectives and strategy
Desired Qualifications:
- Strong executive communication and stakeholder management skills across business, technology, and risk functions. 7+years of proven team management role in terms on talent lifecycle management and Project Management Hands on experience on tools like SQL, SAS, and other similar tools Hands on experience in relational databases Teradata, Oracle, or similar databases Proven experience in Data Modeling, Data Quality and Data Profiling Knowledge and understanding of big data (Hadoop) environment Knowledge and understanding of Data Models, ERD, Dimensional Models and Metadata Proven experience leading analytics teams and delivering enterprise-scale analytical solutions. Strong understanding of quantitative modeling, model governance, validation, and risk management. Demonstrated experience delivering AI or machine learning solutions from ideation through implementation. Identifies and recommends internal and external data sources, compiles/mines data from multiple, cross business sources; recommends and consults in the development of complex analysis designs Ensures adherence to data management/data governance regulations and policies. Data involved may be very large, structured/ unstructured, and collated from multiple sources.
Posting End Date:
20 Sep 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.
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To request a medical accommodation during the application or interview process, visit
Disability Inclusion at Wells Fargo
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