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The Data Risk Officer – Structural Elements Oversight, Senior Vice President role will serve as a subject matter expert on the design and implementation of structural elements for data management. This role focuses on foundational capabilities, including policies, standards, procedures, governance models, staffing, training, controls, and enterprise programs to reduce data quality concerns and adjustments.
Job Responsibility:
Oversee and challenge the design and implementation of the firm’s data governance structure, policies, standards, and procedures, including the design and performance of associated compliance metrics
assess the adequacy of the firm’s budgeting process, staffing levels, skills and expertise, and training programs to appropriately support its data governance requirements
oversee the firm’s efforts to evaluate data exceptions and manage the remediation of data quality concerns
evaluate the enterprise framework to continually reduce manual inputs and adjustments across the enterprise data lifecycle and oversee the adoption of this framework
contribute to identifying and executing independent second-line risk assessments, in coordination with other ORM teams where needed
participate in internal knowledge sharing initiatives
help ensure that this multidisciplinary and cross-cutting risk area is well understood and that the implications of firm-wide remediation efforts are understood in terms of managing 'path-to-green' efforts to operate within the firm’s risk appetite
assist in the negotiation and remediation of identified risk and control concerns
prepare materials for escalation of significant or unaddressed risk issues and control environment concerns to appropriate governance forums and Risk leadership
support the primary interface to key stakeholders such as regulators, senior management, and the Board, as it relates to 2LOD assessment/point of view for the Risk Category
Requirements:
7-10 years of direct experience in a non-financial risk (data, technology, and/or reporting risk), audit, or relevant 1LOD function within a large financial services organization
experience in identifying and assessing non-financial risks and controls
demonstrable understanding of Data Management fundamentals, including data architecture, data quality principles, and a deep appreciation of the intersectionality and interdependency with enterprise technology and systems architecture
experienced in writing and/or assessing organizational policies, standards, and procedures
strong root cause analysis and problem-solving skills to include design and execution of risk and control assessments
ability to constructively challenge others at all levels and across boundaries to deliver better results
holds data management industry certifications (e.g., DAMA Certified Data Management Professional (CDMP))
bachelor's degree in Computer Science, Data Science, Information Technology, Business, Finance, or a related field
What we offer:
Private Medical Care Program
Life Insurance Program
Pension Plan contribution (PPE Program)
Employee Assistance Program
Paid Parental Leave Program (maternity and paternity leave)
Sport Card
Holidays Allowance
Sport and team recreation activities
Special offers and discounts for employees
Access to an array of learning and development resources
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