24817672 AVP - Data Analytics - Business Analysis Manager

Job Description:

Responsible for delivery of time-critical projects related to customer acquisition and demographics maintenance, client screening enhancements, sanctions and controls, Anti-Money Laundering transaction monitoring, customer householding data governance, and end user computing remediation. Provide direction and technical leadership on complex, high-impact projects throughout all phases of the development and implementation process with a primary focus on regulatory compliance initiatives. Manage data related to classification and accountability, conduct root cause analysis, prioritize issues, develop remediation plans, and implement effective tactical and strategic solutions. Analyze data and prepare and present regional/global reports related to risk assessments and monitor related issues and escalations. Lead reengineering efforts in business methodology, strategy, and organizational goals. Accountable for the management and execution of continuous data quality standards, controls, metrics, and Data Concern Remediation Management.

Qualifications:

• Bachelor’s degree or equivalent, in Computer Science, Computer Engineering, or a related field.
• 6 to 8 years of progressively responsible experience in the job offered or in a related IT occupation performing data analysis within the information technology industry.
• Six (6) to Eight (8) years of experience must include:
• Working with data governance, data risk control frameworks, Enterprise architecture frameworks, and policy development to ensure compliance with industry regulations and standards and optimize enterprise-wide data management practices.
• Utilizing data and analytics tools, systems, and processes as well as Enterprise Architecture Platforms, Anti-Money Laundering, Know-Your-Customer, Customer Due Diligence, Householding, Master Customer Record process, and systems to leverage insights for strategic decision-making, enhancing regulatory compliance, and streamlining operational efficiency for improved customer experience and risk management outcomes.
• Utilizing Data Operating Model practices, Data Governance, and Data Compliance within a financial services firm to establish and maintain a robust framework for data management, optimizing data quality, and facilitating strategic decision-making processes.
• Assessing and challenging adherence with policies and standards including data quality and adoption of data governance capabilities and initiatives.
• Utilizing project management methodologies and tools to plan, execute, and monitor projects in listed domains, ensuring timely delivery, resource optimization, and stakeholder satisfaction while adhering to budgetary constraints and quality standards.