Production Management Stability Governance Lead - Senior Vice President

Overview

In this role you will shape and govern stability across Citi’s Production Management landscape, leveraging AI and automation to reduce toil and improve resilience. You will work with cross-functional partners to set KPIs, SLOs, and governance standards that align with risk appetite. You’ll translate complex data into executive-ready insights and lead strategic initiatives to mitigate systemic risk. This is a high-impact, leadership role at the intersection of technology, risk, and business objectives, offering opportunities to influence global finance systems and transform stability practices.

Pay / Benefits

• hybrid work model
• 27 days annual leave
• discretionary bonus
• private medical care & life insurance
• employee assistance program
• pension plan

Responsibilities

• Define and govern a monthly stability reporting framework with executive-ready visuals
• Model and mature global KPI/SLO frameworks for application stability aligned to risk and business goals
• Apply AI and automation to reduce toil and improve efficiency
• Establish enterprise-wide stability best practices and engineering standards
• Lead cross-functional analyses to propose preventative and corrective initiatives
• Own Focus and Intensive Care remediation programs with senior application owners
• Govern review and attestation of critical stability artifacts (e.g., Change Risk Index, Market Event Management)
• Oversee high-priority stability initiatives, manage stakeholders, and mentor mid-level engineers
• Direct day-to-day stability team operations with autonomous decision-making

Key requirements

• Proven strategic leadership and executive influence with cross-functional governance experience
• Advanced quantitative problem-solving and data-driven diagnostics
• Strong data governance, analytical rigor, and ability to produce auditable reports
• Adaptability to ambiguous environments and shifting priorities
• Proactive driver of process improvement and automation
• Data proficiency with transformation, statistics, and predictive modelling
• Technical proficiency with advanced Excel (VBA, Power Pivot) and presentation tools
• Interest or experience in AI/ML and automation within production/SRE contexts
• Operational leadership with autonomous decision-making

• Strategic communication
• Influence and stakeholder management
• Adaptability and resilience
• Data transformation
• Statistical analysis
• Predictive modelling

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