Technical Director - LATAM

October 10

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Allata

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Strategic Advisory Services • Transformational Program Management • Emerging Technology • Custom Software • Cloud

201 - 500

Description

• Allata is an IT company dedicated to strategy, architecture, and enterprise-level application development with offices in the US, India, and Argentina. • We aim to be strategic advisors for our clients, focusing on helping them enhance or scale business opportunities, create efficiencies, automate processes through custom technologies, and find elegant solutions to inefficient problems. • We provide Data Analytics, Advanced Integrations, Product Launch, Experience Design, Support, Cloud, DevOps, Software Development, among other services. • Join us as a Technical Director and be a pivotal member of our LATAM Tech Hub´s executive leadership team. • Your role will focus on driving large-scale digital transformation initiatives with a commitment to quality and client satisfaction. • You will steer strategic development for our people and service lines, fostering a collaborative culture that prioritizes team well-being.

Requirements

• Experience leading client delivery teams, building successful client relationships, growing new client opportunities, and delivering on promises. • Proven ability to manage and enhance quality and margin within client accounts. • Skilled in breaking down complex business problems and guiding a team to resolve them. • Proficiency in working with agile delivery models. • Deep familiarity with Cloud Native environments in at least one of the major hyper-scalers (AWS, Azure, GCP). • Strategic level mastery in one or more of the following technologies (certifications with industry leading players in these areas would be a plus): • Modern software development patterns and tools. This includes experience with containers, serverless, and integration frameworks and tools like eventing, messaging, streaming, service bus, as well as purpose-built integration stacks like Boomi or Mulesoft. • Modern Data architectures, massive data processing and analytics. Including Snowflake, Databricks, MS Fabric and related tools. • Machine learning and Artificial intelligence, with application of Generative AI, RAG and associated use cases. • DevOps and infrastructure as code. • Digital Product Management lifecycle.