Responsibilities

Drive and implement the Operations Excellence roadmap with a dedicated focus on AI, data engineering, and automation, ensuring initiatives align with strategic priorities and deliver measurable results (efficiency, quality and scalability)

Consult with senior business owners, BAU verticals, and transversal functions (Risk, Compliance, Internal Control, Engineering) to understand business strategies, map pain points, and identify process improvement or organizational design opportunities

Assist in managing the portfolio of AI and automation use cases, ensuring smooth transitions from the pilot/idea stage into production and real BAU adoption

Collaborate with the distributed network of AI Ops Wizards, helping deploy common methodologies, track initiative progress, and consolidate cross-vertical requirements to avoid technical duplication

Act as a lever for change, coaching and enabling operational teams to use data, process modeling, and analytics to enhance day-to-day decision-making and service quality





Develop clear executive presentations to communicate project status, data analysis, risks, and resulting process improvements to senior management

Structure and maintain a prioritized inventory of AI, data, and automation use cases

Conduct work observations, facilitate group working sessions, measure process performance, and establish quantitative/qualitative baselines

Document and redesign end-to-end processes

Define and monitor KPIs and benefit-tracking mechanisms linked to manual effort reduction, risk mitigation, and response time improvements

Identify opportunities to reuse automated agents or tools across different banking verticals

Prepare portfolio dashboards, highlighting realized benefits, dependencies, blockers, and mitigation plans for the Head of Operations

Requirements

Bachelor's degree required

6 to 9+ years of professional experience in Process Management, Process Engineering, Management Consulting, or Corporate & Invest

📌 Manager – Operations Excellence, Ops CIB (Madrid)
🏢 Jobtailor
📍 Madrid