Used Tools & Technologies
Not specified
Required Skills & Competences ?
Leadership @ 3 Azure @ 3 Informatica @ 3 Reporting @ 3 KYC @ 3 AML @ 3 Compliance @ 3Details
ING Americas Wholesale Banking is seeking a data governance contractor to support the Regional Chief Data Office and the Chief Regional Data Officer on a regulated compliance initiative. The role focuses on strengthening data governance frameworks, aligning data management practices to regulatory requirements (Federal Reserve, NYDFS and other regulators), and implementing data-related controls to ensure compliance, traceability and data quality.
About ING
In Americas, ING’s Wholesale Banking division offers a broad range of financial products and services to domestic and international corporate and institutional clients. ING Americas follows a hybrid work model, allowing for in-office / work from home flexibility.
About the department
As COO Wholesale Banking Americas, the department ensures a superior customer experience through scalable operations, digital services, and strong control environments. The COO department focuses on Client Service Delivery, Financial Crime Prevention (KYC), Operational Design Control and Resilience (ODCR), and the regional Data Office.
Responsibilities
- Advise on applicability of regulatory requirements including the Federal Reserve (FRB), New York Department of Financial Services (NYDFS), GLBA, FFIEC, OCC, and AML/KYC as they relate to data management.
- Evaluate scope, structure and detail of Data Management, Reporting, Data Protection, Retention and Deletion, End-User Computing policies, control standards, and frameworks to identify gaps and improvements.
- Support development and implementation of procedures and frameworks to ensure compliance with data management requirements from Fed, NYDFS and other regulatory bodies.
- Work cross-functionally with IT and business units on CDE (Critical Data Elements) inventory, data requirements, definitions and business rules/thresholds to align technical requirements with business needs and regulatory reporting processes.
- Ensure correct metadata is available (classification, exchange, definitions) and enforce data traceability/lineage for regulatory requirements.
- Establish continuous data quality monitoring and regular reporting to stakeholders (KPIs, metrics) with corrective action plans.
- Identify gaps in data management capabilities and tools, and recommend incorporation of global/local control standards into an accountability framework.
- Evaluate regulatory reporting processes to ensure accuracy and timeliness in submissions.
- Support the CDO in fostering a collaborative, data-driven culture while balancing risk mitigation and business objectives.
Requirements
- Bachelor’s degree or higher in Computer Science, Business Administration (with focus on data management/compliance), or related field.
- Over 7+ years of professional experience managing data within a bank or financial institution (FBO) or equivalent experience in financial services.
- Strong knowledge of Fed, NYDFS and other regulations related to data management and regulatory reporting.
- Skilled in assessing current data practices to identify gaps and vulnerabilities; able to analyze and remediate control and governance gaps.
- Experience with metadata management, data lineage/traceability, data quality monitoring, and maintaining CDE inventories.
- Proven ability to work independently, prioritize tasks, and drive initiatives; strong teamwork and cross-functional collaboration skills.
- Excellent problem-solving, analytical, and leadership abilities.
It is an advantage to have:
- Proficient understanding and experience in wholesale banking business and/or operations and IT.
- Experience in Risk and/or Internal Control Management.
- Experience with tools such as Collibra, Informatica, or Azure native data governance services.
Compensation
- Hourly Rate: $89 - $92 per hour.
Additional information
- ING is an equal opportunity employer and welcomes applicants of diverse backgrounds.
- The role follows ING Americas' hybrid work model; hybrid arrangements vary by business area.