Svp enterprise risk data analyst Jobs (Hybrid work)

Explore senior-level SVP Enterprise Risk Data Analyst jobs and discover a pivotal leadership role at the intersection of data governance, risk management, and strategic execution. Professionals in this high-caliber position are responsible for designing and overseeing the frameworks that ensure data integrity, accuracy, and reliability for an organization's enterprise risk management (ERM) function. They act as the crucial bridge between technical data teams, risk departments, and senior leadership, translating complex data landscapes into actionable risk intelligence and ensuring compliance with stringent internal and regulatory data standards. The core mission of an SVP Enterprise Risk Data Analyst is to de-risk the organization's data ecosystem. Typical responsibilities involve leading large-scale data transformation and governance initiatives to align with policies like BCBS 239. They analyze and document end-to-end data lineage, identifying critical data elements and pinpointing data quality "hot spots" or control breaks. A significant part of the role is to partner with data owners and consumers to define requirements, establish robust data quality controls, and implement monitoring routines. Furthermore, they institute change management processes for data governance procedures and are tasked with streamlining data capabilities to enhance efficiency and decision-making. Presenting complex findings and strategic recommendations to executive stakeholders and data councils is a regular duty, requiring exceptional communication skills. Candidates for SVP Enterprise Risk Data Analyst jobs typically possess over a decade of experience in banking, finance, or a heavily regulated industry, with substantial risk management expertise. A strong business analysis background is essential, coupled with hands-on proficiency in data analysis, lineage documentation, and data governance principles. The role demands an execution-oriented leader who can navigate complex projects independently and collaborate effectively with global, cross-functional teams. Key skills include superior stakeholder management and negotiation abilities, often at the Director or Managing Director level, and the capacity to balance big-picture strategy with meticulous attention to detail. A Bachelor's degree is standard, with a Master's degree often preferred, alongside a proven track record in managing data-intensive initiatives and driving organizational change through data discipline.