Be an Early Applicant
Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Leads data integrity, governance, lineage, quality improvement, AI, automation, and analytics initiatives within Finance Data Operations. Analyzes complex datasets using SQL and Python, identifies operational improvement opportunities, prototypes solutions, coordinates delivery across business and technology stakeholders, and ensures appropriate controls, testing, auditability, documentation, and measurable outcomes. The role also develops dashboards, roadmaps, data-quality monitoring approaches, and reusable capabilities while mentoring colleagues and managing risks, dependencies, and deliverables.
Summary Generated by Built In
About this role:
Wells Fargo is seeking a Senior Data Product Integrity Specialist
In this role, you will:
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.
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
- 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
- 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.
- 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 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.
Skills Required
- 4+ years of data quality or data management experience, or equivalent experience through work, training, military experience, or education.
- 4+ years of data product, data management, data analysis, business analysis, automation, or technology-delivery experience, or equivalent experience.
- Proficiency in SQL and experience analyzing structured, high-volume, or complex datasets.
- Working knowledge of Python for data analysis, process automation, or solution prototyping.
- Experience using AI tools, including Microsoft Copilot, for analysis, process improvement, research, or operational efficiency.
- Experience managing moderately complex projects, initiatives, or workstreams involving multiple stakeholders, dependencies, and deliverables.
- Ability to analyze ambiguous business or data problems and develop structured recommendations or solution options.
- Ability to clearly communicate technical concepts, recommendations, risks, and status to business and technical stakeholders.
- Ability to work independently, manage competing priorities, identify risks, and drive initiatives to completion.
- 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 automated-solution controls.
- 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.
Wells Fargo Compensation & Benefits Highlights
-
Healthcare Strength — Health coverage begins on day one with comprehensive medical, dental, and vision options, and the company subsidizes a substantial share of premiums for U.S. employees (varying by compensation band).
-
Retirement Support — A robust 401(k) program includes an employer match for eligible employees, with specifics laid out in plan materials and filings.
-
Parental & Family Support — Paid parental leave extends up to 16 weeks for eligible primary caregivers, alongside fertility coverage, adoption/surrogacy reimbursement, and lactation support.
Wells Fargo Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”
Gallery
Wells Fargo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
