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.

• Contribute to the development and execution of complex Data Quality Improvement plans, programs and initiatives which has an impact across CSBB. Has good understanding of Quality process and Agile methodologies

• Work in a highly matrixed organization with the Product Owner, Product Analyst, Scrum Master, management and analyst support, and with subject matter experts across the organization

• Help resolve product related issues and defect management

• Work with stakeholders from across multiple Wells Fargo lines of businesses and functions to manage the product backlog and user stories

• Analyze the data in HOGAN CIS and other System of Records (SOR) and System of Origin (SOO) to understand the differences and identify the source of issue. Highlight quality issues in data between various Systems using SQL, python and Teradata.

• Act as key participant in large-scale Data Quality checks, Compare process and Dashboarding as needed. Has worked on Testing of Products and Quality Assurance activities.

• Review and analyze Data patterns in HOGAN mainframe landscape to identify Quality Rules and review Rule Breaks for accuracy and is familiar with Data Profiling of tables in a DB

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:

• 12+ years of Data Quality experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

• 9+ Agile methodology experience, JIRA or Rally , Sprint, Ceremonies, Agile Reporting, Kanban Boards

• 5+ years of experience in one or more of the following functional areas: large enterprise platforms and complex Data Quality Rules implementations, business technology solutions, with a clear track record of building innovative, customer-facing capabilities

• 5+ years of Project Management experience, stakeholder management, Communication

• Understand concepts of Cloud (AWS, Azure or Google Cloud), Data Lake, Apache Tools

• Has experience working on tools such as MS SQL, coding skills, Tableau or any Reporting Tool, GIT HUB

• Demonstrated experienced with data governance standards.

• Experience in SQL, Teradata, python skills

• Strong analytic background, understands AI ML

• Proven ability to engage and work with technology partners.

• Bachelor's or Master's degree