Manager – Operations Excellence (Ops CIB)
Job Summary
Excited to grow your career
BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121000 professionals working in multidisciplinary teams with profiles as diverse as financiers legal experts data scientists developers engineers and designers.
Learn more about the area:
We are seeking a highly motivated and results-oriented person to join the Operations Excellence discipline within CIB Global Operations. The primary objective of this role is to drive and accelerate the operational transformation of CIB Operations by implementing advanced solutions centered around Artificial Intelligence (AI) data quality improvement automation and advanced analytics.
About the job:
1. Purpose and Key Objectives
We are seeking a highly motivated and results-oriented person to join the Operations Excellence discipline within CIB Global Operations. The primary objective of this role is to drive and accelerate the operational transformation of CIB Operations by implementing advanced solutions centered around Artificial Intelligence (AI) data quality improvement automation and advanced analytics.
In this role you will support the evolution of operational and post-trade service processes toward a more efficient scalable controlled and data-driven model. Acting as an individual contributor or leading specific project workstreams you will bridge the gap between line of business areas Operations Transformation team Engineering AI Transformation and BAU Operations teams. Additionally you will actively collaborate with and support the AI Ops Wizards network across different operational verticals to ensure solutions are prioritized adopted and sustainably embedded into daily routines.
2. Key Responsibilities
Execute the Ops Excellence Agenda: 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).
Cross-Functional Collaboration: 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.
AI Use Case Lifecycle Support: 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.
Network & Standard Coordination: 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.
Data-Driven Culture Promotion: 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.
Stakeholder Management & Reporting: Develop clear executive presentations to communicate project status data analysis risks and resulting process improvements to senior management.
3. Key Tasks and Functional Activities
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.
4. Qualifications and Skills
Education & Experience
Degree: Bachelors degree required.
Experience: 6 to 9 years of professional experience in Process Management Process Engineering Management Consulting or Corporate & Investment Banking (CIB) operational roles.
Leadership: Prior experience acting as a workstream lead or coordinating tasks/project teams within large strategic programs is highly preferred.
Domain Knowledge: Solid understanding of financial services functions and Wholesale Banking activities (e.g. Global Markets Transactional Banking Lending Transaction Processing Post-Trade Services).
Technical & Analytical Skills
Proficiency in process mapping (AS IS and TO BE methodology) gaps identification and design of operational workflows.
Advanced knowledge of Data automation and AI concepts with the ability to translate technical tools into real operational improvements.
Strong analytical problem-solving and database/statistical tools experience (e.g. Excel pivot tables Access Minitab or Google Sheets).
Experience with customer journey mapping organizational change management and identifying operational change risks.
Soft Skills & Leadership Capabilities
High level of autonomy ownership and capability to coordinate transversal teams without relying exclusively on formal hierarchy.
Excellent written and verbal communication skills with the ability to structure clear messages for both technical and non-technical senior executives.
Team-player mindset rooted in transparency proactive. collaboration and positive leadership.
Languages: Minimum B2 english level required. C1 Preferred.
Skills:
Client Orientation Empathy Ethics Innovation Intelligent Automation (IA) Proactive ThinkingRequired Experience:
Manager
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