A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
A professional with over 10 years of experience leading digital transformation initiatives, he specializes in the design and implementation of scalable and secure data architectures and artificial intelligence solutions. He combines a solid technical background with strategic skills to align technological solutions with business objectives.
Experience and Notable Achievements:
- Technical Leadership: Led pre-sales engineering teams, including recruiting, training, and talent development, ensuring the delivery of high-quality solutions aligned with client needs.
- Solution Design: Responsible for designing strategies for technical proposals in Data, Analytics & AI, and Infrastructure, tailoring solutions to each client's specific requirements.
- Digital Transformation: Implemented technology modernization projects, leading the adoption of cloud solutions and promoting technical innovation and engineering excellence.
Technical Skills:
- Data Architecture: Design and management of data structures, including data modeling, governance, and data quality.
- Artificial Intelligence and Machine Learning: Implemented AI and ML solutions to solve complex business problems, using modern tools and frameworks.
- Cloud Infrastructure: Experience with platforms such as Google Cloud Platform, AWS, and Azure, designing scalable and secure solutions.
- Databases: Knowledge of relational and NoSQL databases, performance optimization, and large-volume data management.
- Big Data Tools: Knowledge of technologies such as Hadoop, Spark, Hive, and Kafka for large-scale data processing and analysis.
Nivel de Inglés conversacional