VP Operational Resilience Data Quality & Controls

Madison-Davis, LLC; New York (NY); Hybrid; USD 119,000 - 190,000; Full time

Job summary

Madison-Davis, LLC in New York, NY, is seeking a VP for Operational Resilience Data Quality & Controls Office in a hybrid role. The position focuses on metric definition, governance, and data integrity across a comprehensive resilience program, spanning risk management, data analytics, and regulatory compliance.

It offers a chance to build transparency through analytics across business continuity, disaster recovery, IT testing, third-party resilience, and data resilience domains, with AI-enabled

Qualifications

• Detail-oriented risk and data governance professional with financial services experience.
• Working knowledge of operational resilience frameworks and regulatory expectations.
• Familiarity with AI-enabled automation tools and analytics platforms.

Responsibilities

• Ensure alignment of resilience metrics across business requirements and technology implementations including business RTO and RPO targets across entities and teams
• Conduct data analysis and reconciliation across systems of reference; address gaps and findings from independent assessments and self-identified issues
• Automate and optimize data analytics across solutions including Copilot, SharePoint, and Power BI; perform functional administration of the Operational Resilience tool
• Develop governance and management reporting; escalated data quality and controls risks to appropriate stakeholders
• Facilitate integration of resilience measures across key domains including business continuity, IT disaster recovery, third-party risk management, and crisis management ensuring a cohesive and coordinated approach to embedding resilience analytics into core processes, systems, and decision-making practices
• Identify, implement, and report on new KPIs and KRIs; manage related definitions, audit trails, and documentation
• Partner closely across all Operational Resilience pillars to ensure program-wide data quality, reporting consistency, and regulatory alignment
• Leverage AI and all available tools to design, automate, and analyze controls and related risks across the resilience framework

Job description

Title: VP Operational Resilience Data Quality & Controls Office

Status: Hybrid

Location: New York, NY

Base Salary: $119k $190k + Bonus

ABOUT THE ROLE

This is a newly created opportunity within the Operational Resilience function of a leading global financial institution, focused on metric definition, governance, reporting integrity, and data quality across a comprehensive operational resilience program. The role sits at the intersection of risk management, data analytics, and regulatory compliance offering a unique mandate to build transparency through analytics and insights across business continuity, disaster recovery, technology testing, third-party resilience, and data resilience domains. It's an ideal fit for a detail-oriented risk and data governance professional with financial services experience who combines strong analytical capabilities with a working knowledge of operational resilience frameworks and a comfort with AI-enabled automation tools.

RESPONSIBILITIES

• Ensure alignment of resilience metrics across business requirements and technology implementations including business RTO and RPO targets across entities and teams
• Conduct data analysis and reconciliation across systems of reference; address gaps and findings from independent assessments and self-identified issues
• Automate and optimize data analytics across solutions including Copilot, SharePoint, and Power BI; perform functional administration of the Operational Resilience tool
• Develop governance and management reporting; escalated data quality and controls risks to appropriate stakeholders
• Facilitate integration of resilience measures across key domains including business continuity, IT disaster recovery, third-party risk management, and crisis management ensuring a cohesive and coordinated approach to embedding resilience analytics into core processes, systems, and decision-making practices
• Identify, implement, and report on new KPIs and KRIs; manage related definitions, audit trails, and documentation
• Partner closely across all Operational Resilience pillars to ensure program-wide data quality, reporting consistency, and regulatory alignment
• Leverage AI and all available tools to design, automate, and analyze controls and related risks across the resilience framework