In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Data Management. Review and analyze complex multi-faceted, larger scale or longer-term Data Management challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.

Responsibilities:

Direct support for BSA/AML Program within the Commercial Banking & Lending Data Governance & Data Management Metadata team.

Qualifications:

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• 5-7 yrs Data Management Analyst experience
• Understanding database structure (how data moves, data movement/data element controls)
• Technical aptitude for understanding and manipulating data
• Data governance and/or data management experience
• Metadata Tool (e.g. Collibra or ADMF) experience
• Data analysis tools (Alteryx) experience
• Data mapping experience
• JIRA usage and/or development experience
• Data visualization tool experience (PowerBI, Tableau, etc)
• SharePoint experience
• Regulatory Report (BSA/AML) knowledge/experience
• Knowledge of the banking and finance industry
• Commercial Lending (WF preferred – BOA ok) Product Knowledge
• Understanding of Data Management policy
• Understanding of risk management framework and the risk and control environment
• Experience working in Corporate Risk, Audit, or Independent Testing
• Understanding of key regulatory compliance risk components
• Stakeholder Management/collaboration (internal partners, management and lines of business regarding risk management)
• Experience with reviewing and research moderately complex potential data defects, and follow through on reporting, escalation, and resolution
• Moderate Coding Skills (SQL, Python)
• Proficiency with data flows, report outputs, and data dictionaries
• Accounting Reconciliations
• Understanding of data security protocols and regulations