The Data Analytics Func Grp Mgr manages multiple teams of senior professionals through other senior managers. The job requires a broad and comprehensive understanding of the different systems, theories and practices relevant to a function as well as practical experience of multiple business cycles. In-depth knowledge of the industry and direct competitors' products/services is also necessary in order to contribute to the commercial objectives of the business. Requires thorough understanding of strategic direction of the function within the business, combined with a solid conceptual/practical grounding in both the function and/ or area of expertise. Excellent communication skills required in order to influence a wide range of audiences. The job is likely to be involved in both internal and external negotiations which will have a major impact on the area managed, and possibly on other related areas and organization as a whole. Develops medium- to long-term plans and executes functional strategies for a large/complex country, cluster of countries, or business requiring coordination and integration across units. Provides input into strategic decisions affecting job family or function within a region or business. Full management responsibility of multiple teams, including management of people, budget and planning. Has authority to negotiate and make independent decisions on issues/activities that have critical impact or influence on company revenues, capital or business operations. Typically, a direct report to an EB role and sits on the highest functional leadership team within a region, job function, or global business.

Responsibilities:

• Applies expert knowledge of the industry and direct competitors' products/services in order to drive to the commercial objectives of the business. This requires thorough understanding of strategic direction of the function within the business, combined with a solid conceptual/practical grounding in Data Science/Data Mining/Big Data.
• Exhibits exceptional communication skills required in order to lead a wide range of audiences as the role will likely involve both internal and external negotiations impacting the organization as a whole.
• Employs strategic vision and analysis to a range of diverse problems that require innovative and sophisticated solutions.
• Develops medium to long-term plans and executes functional strategies for a large/complex country, cluster of countries, or business requiring coordination and integration across units.
• Provides input into strategic decisions affecting Data Science/Data Mining/Big Data.
• Assumes full management responsibility of multiple teams, including management of people, budget and planning with the authority to negotiate and make independent decisions on issues/activities that have critical impact or influence on company revenues, capital or business operations.
• Ensures risk mitigation by using instituted technology delivery management and control processes to address execution challenges associated with quality, schedule and cost.
• Designs delivery and technology management approach for projects and associated plans to achieve strategic business goals and operational objectives.
• Owns financial responsibility for Data and Analytics standard platforms and resources.
• Manages teams to interpret business requirements into technology specifications, ensures platform stability, data quality and client support.
• Acquires and applies advanced knowledge of the business, products and processes to ensure data quality and business delivery.
• Directs LOB technology lead managers to ensure effective project execution, risk and issue identification, management and escalation.
• Manages and delivers all aspects of analytics grid and integration with new Big Data capabilities. This will include introduction and training on newest capabilities and services.
• Provides rapid response resources to deliver business augmentation and data support (including data movement services).
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:

• managerial experience
• degree in computer science, information technology, software engineering
• 15+ years relevant work experience
• experience managing technology projects and resources
• relevant business support and/or general analysis experience

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree; managerial experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

En Banamex buscamos un Director Senior con visión estratégica para la posición de Data & Analytics Technology con amplia experiencia en instituciones financieras de banca universal, para liderar la transformación digital basada en datos. Este puesto será responsable de diseñar e implementar una estrategia integral de tecnología de datos y analítica con fuerte adopción de tecnologías de nube acelerando el uso de Inteligencia artificial, que habilite decisiones más inteligentes, personalización de servicios, robustecimiento de modelos de riesgo y de fraude y cumplimiento regulatorio dentro del marco de un banco universal.
Responsabilidades clave:
· Definir y liderar la estrategia de Tecnologia datos y analítica del banco, incluyendo la estrategia de Inteligencia Artificial, alineada con los objetivos de negocio, regulación bancaria y las mejores prácticas del sector financiero.

· Diseñar, en conjunto con el equipo de arquitectura, arquitecturas de datos escalables y seguras basadas en la nube (AWS, Azure, GCP) que soporten iniciativas de open banking, analítica avanzada y riesgo crediticio.

· Implementar las arquitectura de datos definidas, impulsando la adopción de plataformas modernas como data lakes, data warehouses en la nube, y herramientas de inteligencia artificial y de procesamiento en tiempo real.

· Asegurar el uso eficiente y bien gobernado de las plataformas de datos implementadas a lo largo del ciclo de vida de los datos

· Supervisar equipos técnicos multidisciplinarios de plataforma, ingeniería de datos, analítica avanzada, ciencia de datos, BI, MLOps y gobernanza de datos.

· Asegurar el cumplimiento con regulaciones locales e internacionales (CNBV, Banxico, Ley Fintech, GDPR, etc.).

· Asegurar el cumplimiento de las políticas de gobierno de datos y seguridad de la información, calidad de información, privacidad y ética en el uso de modelos.

· Trabajar de cerca con áreas de riesgo, cumplimiento, finanzas, productos y otros equipos de Tecnologia para generar soluciones basadas en datos.

· Liderar el desarrollo de modelos de machine learin, Deep learing y generative AI con casos de uso de personalización y mejora de scoring crediticio entre otros.  

· Impulsar la automatización de procesos analiticios y regulatorios mediante herramientas de IA generativa.

· Liderar la modernización de plataformas legacy de datos hacia soluciones nativas en la nube.

· Evaluar e implementar tecnologías emergentes en inteligencia artificial, machine learning y automatización para aplicaciones bancarias (prevención de fraude, scoring, etc.).


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· Representar la visión tecnológica de data y de inteligencia artificial en comités ejecutivos y ante autoridades regulatorias cuando sea necesario.


Indicadores clave de desempeño (KPIs):
· Adopción de nube: % de plataformas de datos migradas a la nube vs. legacy.

· Disponibilidad de datos: Nivel de SLA en provisión de datos para usuarios internos y regulatorios.

· Madurez del gobierno de datos: Mejora en puntajes de calidad y catalogación de datos.

· Uso de modelos analíticos: # de modelos de machine learning desplegados y activos en producción.

· Casos de uso de GenAi: # de casos de uso implementados y activos en producción.

· Velocidad de entrega: Tiempo promedio para generar reportes clave o entregar soluciones analíticas.

· Satisfacción del usuario interno:Resultados de encuestas de satisfacción con herramientas y acceso a datos.

· Cumplimiento regulatorio: Cero observaciones críticas en auditorías o revisiones de CNBV/Banxico relacionadas con datos.


Requisitos:
· Licenciatura en Ingeniería, Ciencias Computacionales, Matemáticas Aplicadas o afín (maestría o MBA deseable).

· Más de 10 años de experiencia en funciones de tecnología dentro del sector financiero, incluyendo al menos 5 en liderazgo de Data & Analytics Technology.

· Experiencia comprobable en implementación de soluciones en nube pública dentro de bancos o instituciones financieras.

· Conocimiento profundo de plataformas como AWS Redshift, Google BigQuery, Snowflake, Databricks, entre otras.

· Familiaridad con herramientas de BI (Power BI, Tableau) y plataformas de ciencia de datos (SageMaker, DataRobot, etc.).

· Sólido entendimiento del marco normativo financiero mexicano.

· Experiencia gestionando equipos grandes, multidisciplinarios y proyectos transformacionales.

· Alto nivel de inglés (oral y escrito).


Se valorará:
· Certificaciones Cloud (Azure Solutions Architect, AWS Certified Data Analytics, etc.).

· Experiencia en implementación de modelos de riesgo, analítica crediticia o detección de fraude.

· Participación en programas de innovación financiera o transformación digital bancaria.

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Job Family Group:

Technology

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Job Family:

Data Analytics

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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