About this role
Wells Fargo is seeking a Senior Data Product Integrity Specialist
In this role, you will:
- Act as a data steward; lead or participate in moderately complex data integrity and quality initiatives and reviews of business systems; contribute to large-scale planning related to data quality improvement and business systems
- Review and analyze moderately complex data quality audits; research and resolve data quality issues which require an in-depth evaluation of systems, data sets, and data connections
- Independently resolve moderately complex data quality issues and lead team to meet data quality-related deliverables while leveraging solid understanding of data quality standards and control framework; escalate and remediate moderately complex data quality issues
- Collaborate and consult with business, risk partners, and technical staff, including Enterprise Data Management and Technology functions, to lead, triage, and resolve data quality issue; serve as a mentor for lower-level staff
- Ensure compliance with Enterprise Data Management policies, standards, and technology, and facilitate execution of business data standards and control frameworks
- Understand the complete data lifecycle from data creation and capture to data processing, storage, and usage
- Identify and track end-to-end data lineage using traditional methods and systemic tools
- Actively engage in identifying and recommending solutions to improve data and implement data quality improvement plans
- Define the approach to monitoring data quality to maximize efficiency and minimize risk
Required Qualifications:
- 4+ years of data quality or data management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- 4+ years of data product, data management, data analysis, business analysis, automation, or technology-delivery experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, or education.
- Proficiency in SQL and experience analyzing structured, high-volume, or complex datasets.
- Working knowledge of Python for data analysis, process automation, or solution prototyping.
- Demonstrated experience using current AI tools, including Microsoft Copilot, to perform analysis, improve processes, support research, or increase operational efficiency.
- Experience managing a moderately complex project, initiative, or workstream involving multiple stakeholders, dependencies, and deliverables.
- Demonstrated ability to analyze ambiguous business or data problems and develop structured recommendations or solution options.
- Ability to communicate technical concepts, recommendations, risks, and status clearly to business and technical stakeholders.
- Ability to work independently, manage competing priorities, identify risks, and drive assigned initiatives to completion.
- The 4+ year requirement and equivalent-experience formulation come directly from the internal P3 profile.
- Experience designing or building AI-enabled solutions using Copilot, agents, reusable skills, prompts, workflow orchestration, or comparable capabilities.
- Experience developing Python-based analysis, reporting, automation, or workflow solutions.
- Experience with Microsoft Power Platform, Power Automate, Power Apps, Power BI, Azure, GitHub, APIs, or equivalent technologies.
- Knowledge of banking or financial products and Finance, accounting, regulatory, risk, control, or operational data.
- Experience translating operational needs into requirements, user stories, prototypes, process designs, or implementation roadmaps.
- Experience with data-quality controls, reconciliations, defect management, financial-data platforms, or operational reporting.
- Knowledge of responsible AI, data privacy, information security, access management, records management, model risk, or controls applicable to automated solutions.
- Experience developing dashboards, performance metrics, management information, or benefit-measurement frameworks.
- Understanding of data lineage, metadata, data architecture, source-to-target transformations, or enterprise data governance.
- Experience working in Agile, product-management, or structured technology-delivery environments.
- Experience influencing outcomes across India- and US-based Operations and Technology teams without direct authority.
Job Exception
- Lead or participate in moderately complex AI, automation, analytics, data, and operational-improvement initiatives.
- Assess operational processes, controls, reporting, and workflows to identify high-value opportunities for AI, automation, simplification, or improved analytics.
- Translate business problems into defined use cases, requirements, solution options, delivery plans, controls, and measurable outcomes.
- Use SQL and Python to analyze data, prototype solutions, automate repeatable activities, and validate results.
- Design or support solutions using approved Microsoft Copilot capabilities, agents, skills, prompts, workflows, and related automation technologies.
- Coordinate initiatives from assessment and prioritization through design, testing, implementation, documentation, adoption, and benefit measurement.
- Manage milestones, dependencies, risks, decisions, and stakeholder expectations across Operations and Technology.
- Ensure AI and automation solutions include appropriate testing, human review, access controls, auditability, documentation, and operational ownership.
- Develop clear recommendations, status updates, roadmaps, and decision materials for business and management audiences.
- Support broader Finance Data Operations strategy, including process standardization, operational metrics, dashboarding, control enhancements, and modernization.
- Develop reusable methods, documentation, or solution components that help scale successful capabilities across the organization.
- Share knowledge and help strengthen AI, automation, analytical, and strategic capabilities across Finance Data Operations.
The Finance Data Management Office is seeking a Senior Data Product Integrity Specialist to support artificial intelligence, automation, data strategy, and operational transformation within Finance Data Operations.
The role will identify business and operational challenges that can be addressed through AI, automation, analytics, workflow redesign, or process improvement. The senior analyst will translate opportunities into practical solutions and coordinate delivery across Operations, Technology, Finance, data, risk, and control partners.
This position requires analytical and technical capability together with strategic thinking and disciplined project execution. The individual will independently manage moderately complex work, develop or prototype solutions where appropriate, and help move successful concepts into sustainable business use.
Posting End Date:
27 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.
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.