About it in nestlé we are a team of it professionals from many countries and diverse backgrounds, each with unique missions and challenges in the biggest health, nutrition and wellness company of the world. We innovate every day through forward‑looking technologies to create opportunities for nestlé's digital challenges with our consumers, customers and at the workplace. We collaborate with our business partners around the world to deliver standardized, integrated technology products and services to create tangible business value. To strengthen our latam it hub in mexico, we are looking for a senior technology lead - machine learning and statistical platforms architect to complete our analytics, data and integration (adi) department. This position will be integrated in the analytics tools and platforms latam team, which covers the whole latam region, including mexico, central america, caribbean islands and south america. The main purpose of the senior tech lead is to shape the architecture of advance analytics products in his / her region. Her / his primary accountabilities are to act both as ambassador and antenna for the product in the region. As an ambassador he must basically ensure the deployment of the product roadmap for the region, with the support of a team of regional technical specialists and experts, articulating with the adi frms (functional relationship managers) the deployment in their markets. As an antenna he must engage with the adi frms and key communities of practice to ensure key business requirements are considered in the product development roadmap. He must also engage inside (communities, networks, workplace, etc) and outside (events, key suppliers, product eco‑system in the region), to ensure inside and outside sharing of best practices, shareable use cases and especially innovation. Key responsibilities be part of one it team to ensure evolution of the analytics tools & platforms in line with the global strategy contribute to the evolution of the portfolio of data science platforms and tools to meet the needs of data science communities that support innovation in our businesses contribute to the long‑term business capability roadmap for data science platforms and tools based on expected business outcomes shape the architecture of the advance analytics projects use deep understanding of the business requirements and product capabilities to segment is / it customers and consumers based on their needs and profile. Contribute to an outside in based view of how to best target each segment together with the adi frms, engage with innovation communities in his / her region, to identify innovative ideas and pl5 solutions developed in those markets which have potential for sharing. Analyze and validate sharing requirements and orchestrate approach for sharing with other markets orchestrating internal and external functional stakeholders to define, validate and refine product vision, strategy, definitions and roadmaps and be fully responsible of the usage and utilization of the analytical products delivered to them. Provide support to adi frms and solution architects in the region who depend on data science platforms and tools to deliver solutions to the business. Engage with the functional relationship managers and communities of practice in the region to understand and capture requirements and then engage with the product manager to influence the product strategy and vision aimed at maximizing value in line with corporate and business strategy collaborate in the strategy and communication material to create a shared understanding of the data science platforms and tools positioning engage with outside regional eco‑systems related to his product, including key suppliers, events, other companies, to ensure outside sharing and capturing of key and innovative use cases required profile bachelor's degree or higher, preferably computer science or similar. 3 years of experience in data science, data visualization and data science tooling preferably in technologies including microsoft azure machine learning, knime, azure synapse, snowflake, and r. 5 experience as a solution architect strong capabilities in machine learning engineering. Demonstrated experience and understanding of sap bw hana, microsoft azure datalake, databricks, data factory and microsoft sql server and reporting technologies, predictive and machine learning technologies and coding skills in r or python offer a distinct advantage. Demonstrate experience in powerapps and powerbi proven track record of delivering is / it projects / programs in a fast‑paced, dynamic environment with excellent understanding of business needs and interdependencies good understanding of system engineering, information risk and security guidelines, and architecture standards senior stakeholder and project management exposure experience in team leadership in an is / it delivery context, in a global j-18808-ljbffr