Technical Support Professional-AMS-
2 weeks ago
Key Responsibilities:
Member/Customer Data Management:
Accurately update and maintain member/customer master data (e.g., name, ID, contact information) in core systems.
- Understand the customer lifecycle, segmentation, and touchpoints to ensure data is captured correctly.
- Ensure compliance with Anti-Money Laundering (AML) requirements, maintaining accurate member data and assisting in reporting when necessary.
- Handle Personally Identifiable Information (PII) with high sensitivity, ensuring strict adherence to data privacy policies.
Incident Management:
Manage and resolve incidents, including handling P1 tickets effectively and efficiently.
- Use ServiceNow for incident creation, updates, and resolution in accordance with SLA timelines.
- Escalate incidents as necessary and collaborate with relevant teams for timely resolution.
- Conduct basic Root Cause Analysis (RCA) and issue classification to identify recurring problems and prevent future occurrences.
Technical Support:
Utilize IMS DC and mainframe screens to retrieve and update data as needed.
- Use SQL to query, extract, and analyze data for various operational needs.
- Leverage knowledge of Conversant or similar tools to streamline data management tasks and processes (preferred).
Data Governance (Nice to Have):
Contribute to ongoing data governance initiatives to maintain data integrity, quality, and security.
- Provide recommendations to improve data management processes and practices.
Minimum Qualifications:
- Proven experience in managing and updating financial member/customer data.
- Strong understanding of the customer lifecycle, segmentation, and data touchpoints.
- Hands-on experience with IMS DC and mainframe screens.
- Proficiency in SQL for data extraction and analysis.
- Familiarity with ServiceNow and incident management processes.
- Awareness of AML regulations and the importance of data privacy.
- Experience handling PII and adhering to relevant data privacy policies.
Preferred Qualifications:
- Familiarity with Conversant or similar data management tools.
- Experience in data governance and data management practices.
Skills & Competencies:
- Strong attention to detail and accuracy.
- Ability to handle sensitive data with confidentiality and professionalism.
- Problem-solving mindset with a proactive approach to incident management.
- Excellent communication and collaboration skills.
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