Director – Financial Crimes Compliance; Data Enablement & Governance

Global Financial Crimes Compliance (GFCC) is an organization within Global Risk & Compliance (GRC) and is responsible for leading the enterprise-wide Anti-Money
Laundering, Sanctions, and Anti-Corruption compliance functions. This team has global responsibility for identifying, investigating, and reporting suspicious activity, including money laundering and terrorist financing, and provides broad analytical and operational support for the company’s enterprise-wide GFCC control framework.

The newly created second line GFCC Enablement organization will lead and synchronize the execution of GFCC strategic and transformational program development initiatives, including technology, data, and tools. The Director of GFCC Strategy and Governance will lead data transformation efforts across GFCC ensuring our efforts are synchronized, consistent, and transparent across all GFCC verticals. In addition, this role in collaboration with GRC product, GRC Data science and Enterprise technology will drive data strategy to support GFCC objectives including strong data governance and data risk management in accordance with the enterprise policies. This role will be responsible for the Issue management framework for GFCC. will serve as the primary conduit between GFCC leadership and partner organizations for data requirements, ensuring coordinated engagement across all stakeholders.

Key Responsibilities:

Data Strategy , Data tooling: Collaborate with GRC products, GRC Data Science and Enterprise technology to drive GFCC Data strategy to ensure accurate, complete and timely data availability to support GFCC mandates. Define and advocate for future proof data requirements to support dynamic risk modelling and compliance/regulatory needs. Evaluate and prioritize requirements/roadmap for Data management tools 

Data Governance: Establishes and enforces GFCC data governance policies, standards, and procedures, ensuring coordinated and consistent execution across all
stakeholder groups. This includes maintaining GFCC Data Governance standards, an accurate inventory of GFCC-related data elements . guiding the evolution of the GFCC data ecosystem in close collaboration with GFCC leadership, GRC Product, GRC Data Science, AET Engineering, and Enterprise Data Governance to enable high-quality, well- governed, and regulatory-aligned data capabilities. 

Issue Management: Coordinating with the Data office , Data Stewards, Data Custodians and Business Process Owners to track remediation for any data quality
issues identified for data elements that serve as inputs to GFCC systems and processes, GFCC risk assessments, KRI/KPI metrics & reporting
 

Automation and Efficiency improvements: Drive continuous improvement through Automation/AI use cases to improve efficiency, accuracy and throughput
 

Collaboration: Partners closely with GFCC leadership, GRC Product, GRC Data Science, AET Engineering, and other key stakeholders to ensure coordinated, transparent, and well-governed execution across all GFCC technology, tools, and data initiatives.
 

Thought Leadership: Provide thought leadership to GFCC leaders and partners as it
relates to technology, tools, and data, complimenting their perspectives with an appropriate level of credible challenge to ensure aligned outcomes with the overall
GFCC 

Minimum Qualifications:

• Prior experience driving enterprise transformation, project management, and technology roles demonstrating a strong understanding of technology, tools, and data
     in both operational and risk management environments.
• 7-10 years of relevant work experience in Financial Crimes processes including AML, Sanctions, Customer Risk Rating, , Anti Bribery & Corruption.
• Strong working knowledge of current and upcoming data governance, data management and data product techniques and trends, with a point of view on the
     evolving concepts and standard methodologies.
• Strong Experience in leading Data strategy & Data Platform and Governance initiatives in a large enterprise including familiarity with tools and processes for data quality
     management.
• Extensive experience with agile methodologies, product lifecyc