Banamex - Data Quality Sr Analyst IA/LLM at Citigroup · Mexico…

Banamex - Data Quality Sr Analyst IA/LLM Location: Ciudad De Mexico Distrito Federal Mexico The Data Quality Sr. Analyst helps to ensure data sourced and provisioned by different areas, meets all required Data Quality standards.  In this role, moderately complex and variable issues are evaluated with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. The Data Quality Sr. Analyst assesses, evaluates, and analyzes data challenges and provide recommendations on their resolution.  They collaborate with an array of teams and groups, developing subject matter expertise and knowledge of industry practices and standards. Responsibilities: Partners with Enterprise Chief Data Office to contribute to the development of procedure guidelines and standards addressing Data Certification and Data Quality management Develop methods to identify data patterns and trends in available data sources, perform data quality analytics and identify data challenges Contribute to Data Quality resolution strategies and practices Assist in data improvement initiatives in compliance with Citi Data Governance Policy Assists in the remediation of Audit and Regulatory feedback on issues and concerns Report Data Quality issues through Citi’s corresponding Data/Issue management process, and/or Coordinate efforts for Data consumption demand and Data requirement from strategic data repositories Liaise with other areas of the firm to understand data challenges and solutions. Supports identification of data quality rules, thresholds, and other business requirements Perform financial reconciliation, and measure Data Quality to drive data quality resolution Define and formulate business requirements documents that contribute to resolve Data Quality issues Lead project management activities Support senior management strategic vision Appropriately assess risk when business decisions are made, demonstrating consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behaviour, conduct and business practices, and escalating managing and reporting control issues with transparency Qualifications: 5-8 years of experience with defining and implementing Data Quality programs; Banking or Finance industry preferred Strong analytical skills and attention to detail Strong project management skills Optimizes work processes by knowing the most effective and efficient processes to get things done, with a focus on continuous improvement Proficient in using data management and analysis tools including basic Microsoft applications (Word, Excel, PowerPoint) Working knowledge of Collibra and other Data Governance industry standard tools Intermediate proficiency in System Query Language (SQL) Working knowledge of Tableau (report consumer, developer, etc.) Demonstrated understanding of Database structures Proven ability to provide in-depth and sophisticated analysis with interpretive thinking to define problems and develop innovative solutions Anticipates and balances the needs of multiple stakeholders, while monitoring tight deadlines or unexpected requirement changes Communicates effectively in non-technical terms at all levels of the organization Collaborates effectively by building partnerships and working well with others to meet shared objectives Education: Bachelor's/University degree Responsabilidades Diseñar arquitecturas de IA/LLM end-to-end con estándares de calidad, seguridad y gobernanza. Construir pipelines reproducibles (datos, features, entrenamiento, evaluación, despliegue). Implementar LLMOps (RAG, evaluación automatizada, telemetría, guardrails, feedback loops). Desplegar modelos como servicios (REST/gRPC), con SLA, auto-escalado y observabilidad. Establecer frameworks de evaluación (offline/online), pruebas A/B y monitoreo de drift. Mentorear y elevar la barra técnica del equipo; producir plantillas y buenas prácticas. Requisitos 6–10+ años en software/data/ML; 3+ años llevando modelos a producción. Dominio de Python y ecosistema de ML/LLM (PyTorch/TF, scikit, LangChain/LlamaIndex opcional, vLLM/ONNX). Experiencia probada en MLOps (MLflow/Kubeflow/Azure ML) y CI/CD. Práctica con vector DB (Milvus/pgvector/FAISS) y serving de LLMs/embeddings. Infra cloud (AWS/GCP o equivalente). Seguridad y cumplimiento: manejo de PII, encriptación, auditoría, RBAC, políticas de uso responsable. Experiencia con A/B testing, métricas de producto y optimización de costos. ------------------------------------------------------ Job Family Group: Data Governance ------------------------------------------------------ Job Family: Data Quality & Data Quality Analytics and Reporting ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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