Data Science Senior Manager - C13 - CIUDAD DE MEXICO

• Manages a team of data scientists.
• Implements solutions for reporting issues with broad business impact.
• Handles occasionally complex and variable issues with significant departmental impact.
• Shares responsibility for budget, policy formulation and planning.
• Maintains appropriate staffing requirements to meet operational needs.
• Manages all training and developmental needs for assigned personnel.
• Applies in-depth understanding of how areas collectively integrate within the sub function as well as coordinate and contribute to the objectives of the entire function; and, requires basic commercial awareness.
• Evaluates subordinates' performance and makes recommendations for pay increases, hiring, terminations and other personnel actions.
• Demonstrates a comprehensive understanding of how own area collectively integrates to contribute to achieving overall business goals; requires basic industry knowledge.
• Provides evaluative judgment based on analysis of factual information in complicated and unique situations.
• Directs area supported through responsibility for delivery of end results and shared responsibility for budget management; accountable for resource planning.
• Utilizes developed communication and diplomacy skills to persuade and influence others; may negotiate with external parties.
• Conducts workflow analysis, business process modeling; develop use cases, test plans, and business rules; assist in user acceptance testing.
• Collaborates on design and implementation of workflow solutions that provide long term scalability, reliability, and performance, and integration with reporting.
• Develops in-depth knowledge and proficiency of supported business areas and engage business partners in evaluating opportunities for process integration and refinement.
• Gathers requirements and provide solutions across Business Sectors.
• Partners with cross functional teams to analyze, deconstruct, and map current state process and determineimprovement opportunities including creation of target operation models.
• Assists in negotiating for resources owned by other areas in order ensure required work is completed on schedule.
• Develops and maintain documentation on an ongoing basis, and train new and existing users.
• Directs the communication of status, issue, and risk disposition to all stakeholders, including Senior Management.
• Directs the identification of risks which impact project delivery and ensure mitigation strategies are developed and executed when necessary.
• Ensures that work flow business case / cost benefit analyses are in line with business goals
• Delivers coherent and concise communications detailing the scope, progress and results of initiatives underway.
• Develops strategies to reduce costs, manage risk, and enhance services.
• Deploys influencing and matrix management skills in order to ensure technology solutions meet business requirements.
• Other duties and functions as assigned.
• 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.

• MBA or Advanced Degree Information Systems, Business Analysis / Computer Science preferred
• Proficient in tools used for statistical analysis
• 6-10 years experience with defining and implementing data science programs
• Knowledge of advanced statistical techniques and concepts and experience

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

Descripción de puesto

• Excited to grow your career?

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Estamos convencidos de la importancia de la innovación y toma de decisiones basada en datos. El equipo te testing es la brújula del equipo de modeling, business analytics y Negocio.

Información del Área

Trabajamos como un solo equipo, junto con toda el área de Decision Science y Unidades de Negocio, en el diseño e implementación de pruebas que provean el valor verdadero de las estrategias principales del banco y todas aquellas que generen una mejora continua a la rentabilidad de los productos y al servicio hacía los clientes.

El Sub Director de Testing CoE administra al equipo a cargo del diseño analítico de experimentos/pruebas que tienen como objetivo la mejora sistemática de todas las áreas del banco

Principales Responsabilidades

Administrar al equipo a cargo del diseño de experimentos capaces de proveer información estadísticamente confiable para mejorar las decisiones de la organización. Coordinación de proyectos con los diferentes equipos de Decision Science así como con las diferentes áreas del Banco Coordinación con otros equipos y entendimiento de los procesos del Banco para asegurar la implementación correcta de las diferentes pruebas, para que éstas fundamenten la correcta toma de decisiones Comunicar de manera clara y efectiva a los diferentes socios y líderes todas las conclusiones resultantes de los análisis y de las pruebas, siempre manteniendo un punto de vista imparcial y objetivo.

Habilidades

• Excelente comunicación oral y escrita
• Analítico, con mucha capacidad de síntesis
• Enfocado a objetivos y habilidad para tomar decisiones
• Creativo, con capacidad de implementación
• Curioso e informado de las nuevas tendencias de la industria

Requisitos

• Perfil: Finanzas, Actuaría, Economía, Matemáticas, Ingenierías, otras relacionadas
• Experiencia en uso de técnicas de análisis estadístico, cuantitativo y matemático para realizar muestreo, análisis complejos y minería de datos
• Mínimo de 6 años de experiencia en temas relacionados
• Mínimo de 3 años de experiencia manejado equipos de 2 personas o más
• Inglés Avanzado
• Programación Avanzada y capacidad de procesamiento de grandes cantidades de información
• Manejo de Software especializado: SAS, R, Python, BI tools

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