Data Analytics & Process Transformation Lead (Derivative Settlements Operations)

Overview

In this role you drive the end-to-end data-driven transformation of OTC Settlements and Payments within Derivatives Settlements Operations. You will set the strategic direction, oversee the investment portfolio, and align cross-functional teams across Operations, Technology, and Product. You’ll manage analytics-led improvements, KPI visualization, and the adoption of AI and automation at scale. This is a senior, impact-focused leadership role at Citi Belfast with a clear transformation mandate and a chance to shape the operating model.

Pay / Benefits

• generous holiday allowance starting at 27 days
• annual discretionary bonus
• private medical insurance
• Employee Assistance Program
• pension plan
• paid parental leave

Responsibilities

• Own the strategic vision and multi-year roadmap for OTC Settlements and Payments target operating model
• Provide oversight of forensic reviews and translate findings into sustainable solutions
• Lead large-scale cross-product data analysis and set analytical standards
• Manage full business case lifecycle for major investments, including funding and governance
• Ensure business requirements align with enterprise architecture and platform strategy
• Define KPI visualization, dashboards, and BI capabilities at scale
• Champion AI, low-code automation, and generative AI governance across the function
• Build and mentor a team of Product Development VPs and Analysts
• Maintain senior stakeholder relationships and represent the program in governance forums
• Uphold risk and control standards and monitor delivery against commitments

Key requirements

• Extensive leadership experience applying data analytics and process re-engineering to large-scale transformation
• Deep Operations and/or Technology experience in Global Markets with exposure to Derivatives, Payments, or Settlements
• Proven track record delivering multi-year strategic initiatives and owning business cases
• Experience building and leading high-performing teams
• Established senior relationships with Technology leadership and external vendors
• Hands-on experience with AI tools and scalable adoption
• Knowledge of low-code automation and enterprise governance for deployment
• Exceptional stakeholder and executive communication skills
• Bachelor’s degree; Master’s degree preferred

• stakeholder management
• executive communication
• leadership
• data analytics
• process re-engineering
• AI tooling (e.g., CoPilot, Devin, Claude)

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