Senior Data Product Integrity Specialist

Overview

Wells Fargo is seeking a Senior Data Product Integrity Specialist to act as a data steward, leading or participating in moderately complex data integrity and quality initiatives and reviews of business systems.

What you'll do

• 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 issues.
• 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.

What you'll need

• 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.
• 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.

Nice to have

• 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.

Details

• Location: Hyderabad, India.
• In-office requirement: 3 days.
• Work shift: 1:30 to 10:30 pm.
• Posting end date: 9 Nov 2026.