Data & AI Associate
Role details
Job location
Tech stack
Job description
The Data & AI Expert is a hands-on role within a global organization at the forefront of the payments industry. You will be directly responsible for designing, building, and deploying Data & AI solutions, and later for technically leading the Mexico Hub of the Global AI Lab, with a strong focus on delivering business value. Strategic Alignment & Executive Visibility · Translate business needs into robust, scalable technical solutions. · Define KPIs, value metrics, and reporting frameworks to demonstrate impact. · Provide progress updates, risk assessments, and results to senior stakeholders in global and local structures. · Ensure all local initiatives directly support business priorities while remaining aligned with the global Data & AI operating model and unified roadmap Project Delivery & Technical Leadership · Lead end-to-end project execution: problem framing, data analysis, modeling, validation, industrialization, and deployment. · Provide deep technical guidance to the team, solving complex engineering and ML challenges. · Frame problems from a business perspective, prioritizing impact, feasibility, and time-to-value. · Guide teams and stakeholders to balance technical rigor with business urgency and strategic relevance. · Ensure adherence to global governance, architectural principles, and reusable assets defined by the Global CDAIO. Technical Execution of Data & AI Initiatives · Design, prototype, and deploy Machine Learning models, LLM-based solutions, AI Agents and advanced analytics use cases. · Build and maintain scalable data pipelines and architectures (batch & streaming) on platforms such as Databricks and Azure. · Adopt global MLOps/LLMOps practices, ensuring reliability, observability, governance, and efficient model lifecycle operations. · Leverage global accelerators, frameworks, and reusable components to accelerate delivery and reduce time to impact. Building and Leading the Getnet AI Lab in Mexico (After the initial period in Madrid) · Build and lead the Mexico Hub of the Global AI Lab, reinforcing a unified global structure with distributed hubs · Establish the technical foundations, tooling, and workflows of the Getnet AI Lab. · Collaborate closely with product, business, and technology teams to identify high-value opportunities and execute them end to end. · Lead local technical teams of AI engineers and Data Scientists. · Foster a culture of experimentation, technical excellence, and responsible AI adoption. · Ensure ongoing collaboration, knowledge-sharing, and alignment with the global AI Lab community., · Play a central role in the expansion of the Global AI Lab through a distributed hub mode. · Work in a global organization undergoing transformation where Data & AI are strategic drivers of value. · Collaborate with international, multidisciplinary teams and learn from leaders across the group. · Experience real growth opportunities, high visibility, and the chance to deliver impact from day one. · Be at the centre of innovation in the fast-evolving payments industry. Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies.
Requirements
· 5+ years of hands-on experience in data engineering, machine learning, advanced analytics, or AI solution development. · Proven experience delivering technical solutions in production environments-ideally in payments, fintech, or banking. · Strong expertise with Databricks, Azure, Spark, Python, MLflow, and modern data/AI stacks. · Experience implementing MLOps/LLMOps frameworks and operating models in real-world environments. · Hybrid leadership capability: deep technical expertise combined with strong business acumen, value framing, and stakeholder influence · Ability to technically guide teams and lead end-to-end project execution. · Excellent communication skills to engage both technical and business stakeholders. · Fluent in Spanish and English; Portuguese is a plus. · A mindset focused on business results, leveraging global standards to accelerate value creation while building local capabilities