Principal Manager GRM Data & Analytics - Analytics Transformation

Principal Manager GRM Data & Analytics - Analytics Transformation

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Principal Manager GRM Data & Analytics - Analytics Transformation

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As Principal Manager for Analytics Transformation within GRM Data & Analytics, you will lead the redefinition of how Risk Data Scientists (DSc) operate across the BBVA Group. You will be responsible for designing, standardising, and automating the Ways of Working for the development of AI models, including traditional ML and GenAI models, with a clear focus on accelerating Time to Value (TtV), and driving the adoption of strategic platforms such as GRMLab -our proprietary risk modelling library- AWS cloud-based capabilities and GenAI technologies across the GRM function.

Global Risk Management (GRM) is dedicated to contributing to the Group’s responsible growth and recurring value creation by implementing a holistic and forward-looking approach to manage all financial risks. Our approach prioritizes sustainability as a lever for growth, promotes the Group's risk culture with the best team, and leverages the capabilities offered by data, advanced analytics, artificial intelligence, and digitalisation.

As Principal Manager for Analytics Transformation within GRM Data & Analytics, you will lead the redefinition of how Risk Data Scientists (DSc) operate across the BBVA Group. You will be responsible for designing, standardising, and automating the Ways of Working for the development of AI models, including traditional ML and GenAI models, with a clear focus on accelerating Time to Value (TtV), and driving the adoption of strategic platforms such as GRMLab -our proprietary risk modelling library- AWS cloud-based capabilities and GenAI technologies across the GRM function.

This is a high-impact, highly visible role reporting directly to the Global Head of GRM Data & Analytics and forming part of the leadership team.

Main Functions

• Define a roadmap and implement ML and AI capabilities for the DSc in GRM across BBVA Group, covering all aspects of an E2E model development pipeline, including data collection, data cleansing, feature engineering, model training, model testing, model deployment, continuous monitoring, and model retraining / fine-tuning.
• Develop and scale strategies to increase productivity through reusable components and templates integrated into efficient AI / ML pipelines.
• Lead the evolution of GRMLab, integrating AWS-native capabilities to facilitate scalable, secure, and compliant model development.
• Act as the responsible lead within GRM for promoting, enabling, and monitoring the adoption of GenAI tools (e.g. ChatGPT), ensuring their effective use.
• Monitor the development and implementation of GenAI use cases across geographies, ensuring timely execution and alignment with strategic objectives.
• Identify and evaluate new opportunities to apply GenAI technologies to optimise risk management processes and shape a forward-looking use case pipeline.
• Provide expert guidance on FinOps practices to ensure efficient and cost-effective use of cloud resources for analytics workloads in GRM.
• Define and track strategic KPIs, including TtV, reusability of analytical components, adoption of GRMLab and AWS, and volume of GenAI use cases across GRM.
• Oversee the roll-out of training programmes defined by the Data Analytics Transformation Core Service, ensuring effective delivery in areas such as MLOps, GenAI, and cloud-based analytics.
• Act as the central point of contact in GRM for training delivery, participation tracking, and impact assessment, continuously improving the function’s capabilities.
• Serve as the key reference in GRM for BBVA’s Advanced Analytics Community of Practice, fostering alignment, knowledge sharing, and adoption of common methodologies.
• Collaborate cross-functionally with teams in Risk, Data, and Engineering, across different geographies, to ensure effective implementation of transformation initiatives.

Requirements

demonstrated ability to manage cross-functional collaboration and drive alignmentacross business and technical stakeholders.

experience in areas such as model versioning, CI / CD for ML, monitoring, retraining strategies, and integration into production environments.

Seniority level

Seniority level

Director

Employment type

Employment type

Full-time

Job function

Job function

Consulting, Information Technology, and Sales

Banking

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