ARG SSR Data Oversight Analyst
Banco Santander S.A.
ARG SSR Data Oversight Analyst
Country: Argentina
ES EL MOMENTOSantander ([ está evolucionando de ser una marca global de alto impacto a una organización impulsada por la tecnología , y las personas están en el centro de este camino. Estamos liderando una transformación centrada en el cliente que valora el pensamiento disruptivo , la valentía de desafiar lo posible y la capacidad de innovar .
Esto es más que un cambio estratégico: es una oportunidad para que las personas estén motivadas, crezcan, aprendan y generen un impacto real .
Nuestra misión es contribuir a que más personas y empresas prosperen . Adoptamos una sólida cultura de riesgos y esperamos que todas las personas, en toda la organización, asuman un enfoque proactivo y responsable en la gestión del riesgo.
Santander Digital Services es el equipo de tecnología y operaciones de Santander. Estamos convencidos de la importancia de la tecnología alineada con las necesidades del negocio y de que nuestro trabajo no solo aporta valor a usuarios, personas y comunidades, sino que también fomenta la creatividad individual. Nuestro equipo de más de 7,000 personas en 8 países (España, Portugal, Polonia, Reino Unido, Estados Unidos, México, Chile y Brasil) desarrolla e implementa soluciones financieras en un amplio espectro de tecnologías (incluyendo Blockchain, Big Data y Angular, entre otras) en todo tipo de plataformas locales y en la nube. EL IMPACTO QUE GENERARÁSEl equipo de Data Oversight está buscando un/a Ssr Data Oversight Analyst con base en Buenos Aires .
El propósito del rol es:- Garantizar que los datos críticos de la organización sean gestionados mediante la calidad, integridad y el cumplimiento de los estándares de datos, supervisando procesos, controles y métricas para asegurar información confiable.
- Identificar, monitorear y mitigar riesgos de gestión del dato, promoviendo el cumplimiento de los marcos de gobierno, regulación y control definidos por la organización.
- Gestionar, supervisar y dar seguimiento a las iniciativas y proyectos vinculados a gobierno y gestión de datos.
- Atender consultas y coordinar actividades con equipos de datos, negocio, riesgos, compliance, tecnología y ciberseguridad.
- Ejecutar actividades de control, monitoreo y seguimiento de riesgos de gestión del dato, verificando el cumplimiento de políticas, estándares y procedimientos corporativos.
- Elaborar indicadores, métricas, reportes y evidencias para comités, auditorías internas y regulatorias, impulsando planes de remediación cuando se detecten desviaciones.
- Validar la completitud y consistencia del Diccionario de Datos y el Glosario de Datos de la organización, supervisando la documentación de flujos y metadatos.
- Participar en evaluaciones de calidad de datos, data lineage, metadata, gestión de accesos y controles asociados al Data Lake y ecosistema de datos.
- Identificar oportunidades de automatización y uso de inteligencia artificial para fortalecer controles, monitoreo y procesos de gobierno del dato.
Nuestra gente es nuestra mayor fortaleza. Cada persona contribuye con perspectivas únicas que nos hacen más fuertes como equipo y como organización. Valoramos quiénes son y potenciamos lo que aportan.
Los siguientes requisitos representan los conocimientos, habilidades y competencias esenciales para este puesto.
Experiencia profesional- Experiencia mayor a 2 años en posiciones relacionadas con Data Governance, Data Management, Riesgo de Datos o IT, Calidad de Datos, Auditoría o Compliance. (Deseable)
- Experiencia en auditoría, gestión de riesgos, controles internos o procesos regulatorios. (Deseable)
- Experiencia participando en iniciativas de gobierno del dato, calidad de datos, reporting, gestión de metadatos, controles o proyectos de transformación de datos. (Deseable)
- Estudiante avanzado o graduado de carreras de Sistemas, Ciencias de la Computación, Ingeniería, Ciencia de Datos, Actuario, Matemática, Economía o afines. (Deseable)
- Ingles (deseable)
- Gobierno y Gestión de Datos. (Obligatorio)
- Inteligencia Artificial: automatización de procesos, uso responsable de IA, herramientas de productividad, controles, etc. (Obligatorio)
- Power BI: ecosistema, visualización y confección. (Obligatorio)
- Conocimientos marcos regulatorios y de control (gestión de riesgos, auditoría, BCRA, gobierno del dato, BCBS239). (Obligatorio)
- SQL y análisis de datos. (Deseable)
- Calidad de datos, metadata, data lineage y gestión de riesgos del dato. (Deseable)
- Conocimiento de herramientas de gobierno de datos y catálogos de datos. (Deseable)
- Pensamiento analítico.
- Capacidad de challenge y visión de riesgo.
- Comunicación efectiva con áreas técnicas y de negocio.
- Organización y seguimiento de planes de acción.
- Autonomía y orientación a resultados.
- Capacidad para trabajar con múltiples stakeholders.
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