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Senior Data Product Integrity Specialist

Wells Fargo

 

Hyderabad, Telangana, India

Posted On: 3 days ago
Experience: 5+ years
Availability: Hybrid
Openings: 1
Category: Data Integrity Analyst
Tenure: No Preference/Any
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Description

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
  •  
    • .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.

Desired qualifications

  •  
    • 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

Education

Any Graduate

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