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This job was automatically translated to English, .
Job description
We are expanding the team with an Audit Tech Manager profile to join our technological innovation team in auditing. This role is aimed at STEM profiles with a creative mindset, a passion for automation, and a desire to develop data- and AI-based solutions. You will be part of a dynamic environment where you will develop technical components that transform processes, automate tasks, and boost the use of data within the auditing of the future.
You will have the opportunity to incorporate generative AI and intelligent automation into audit. You will work with cutting-edge tools such as Databricks, Copilot Studio, Power Platform, and GitHub in an Azure environment.
What will you be able to do?
Lead the development team
Identify opportunities for improvement and digitalization within the audit process.
Lead the functional definition of AI, automation, and advanced analytics solutions.
Design and coordinate the development of intelligent agents based on Copilot Studio.
Drive the adoption of digital tools among audit teams.
Participate in the design of data models and analytical processes for audit procedures.
Coordinate with developers, D&A teams, and audit professionals to ensure solutions meet business needs.
Contribute to the technological innovation strategy of Audit.
Define use cases, adoption metrics, and expected benefits.
Document solutions and ensure quality standards, traceability, and methodological compliance.
Gain visibility with the leadership of the Audit practice and participate in strategic transformation projects.
What do you need to know?
Computer Engineering or similar
At least 5-6 years of professional experience in projects related to:
Process automation and Data Analytics. Using tools such as Python, SQL, Databricks, PowerBi, PowerPlatform...
Digital transformation and implementation of technological tools
Experience in data-driven auditing.
General knowledge of LLM and RAG-based architectures.
English level: advanced
Job description
Nos encontramos ampliando el equipo con un perfil Audit Tech Manager para unirse a nuestro equipo de innovación tecnológica en auditoría. Este rol está dirigido a perfiles STEM con mentalidad creativa, pasión por la automatización y ganas de desarrollar soluciones basadas en datos e IA. Serás parte de un entorno dinámico donde desarrollarás componentes técnicos que transforman procesos, automatizan tareas y potencian el uso de datos dentro de la auditoría del futuro.
Tendrás la oportunidad de incorporar IA generativa y automatización inteligente en auditoría. Trabajarás con herramientas cutting-edge como Databricks, Copilot Studio, Power Platform y GitHub en entorno Azure.
¿Qué podrás hacer?
Liderar el equipo de desarrollo
Identificar oportunidades de mejora y digitalización dentro del proceso de auditoría.
Liderar la definición funcional de soluciones de IA, automatización y analítica avanzada.
Diseñar y coordinar el desarrollo de agentes inteligentes basados en Copilot Studio.
Impulsar la adopción de herramientas digitales entre los equipos de auditoría.
Participar en el diseño de modelos de datos y procesos analíticos para procedimientos de auditoría.
Coordinar con desarrolladores, equipos de D&A y profesionales de auditoría para garantizar que las soluciones cubren las necesidades del negocio.
Contribuir a la estrategia de innovación tecnológica de Auditoría.
Definir casos de uso, métricas de adopción y beneficios esperados.
Documentar soluciones y asegurar estándares de calidad, trazabilidad y cumplimiento metodológico.
Tener visibilidad ante el liderazgo de la práctica de Auditoría y participar en proyectos estratégicos de transformación.
¿Qué necesitas saber?
Ingeniería Informática o similar
Al menos 5-6 años de experiencia profesional en proyectos relacionados con:
Automatización de procesos y Data Analytics. Utilizando herramientas como Python, SQL, Databricks, PowerBi, PowerPlatform...
Transformación digital e implantación de herramientas tecnológicas
Experiencia en Auditoría basada en datos.
Conocimiento general de arquitecturas basadas en LLMs y RAG.
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