Forward Deployed AI & Data Lead

Forward Deployed AI & Data Lead Join Keyrus team to work with global customers on innovative Digital & Data projects! Enviar solicitud Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence. AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills—you will develop judgment. Your expertise sharpens with every client challenge you solve, every opportunity you shape, and every strategic partnership you help build. Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges business strategy, data, AI, and executive decision-making at scale. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence. Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. 🚀 What You'll Architect As the Data & AI Practice Lead for LATAM, you will architect the growth, positioning, and technical evolution of Keyrus's Data & AI practice across the region — becoming the trusted advisor clients turn to when modern data architecture meets real business transformation. You will operate at the intersection of technology and strategy, translating client challenges into concrete Data & AI solutions while building the talent, offerings, and market presence that make Keyrus a true reference in the space. You will: Lead and grow the Data & AI practice in LATAM, contributing to its growth, positioning, and evolution in line with market and client needs Act as the technical and consultative reference for Data & AI with clients, building trusted relationships with technology, data, and business leaders Identify Data & AI opportunities within existing and prospective clients, turning their needs into concrete initiatives, solutions, and projects Work closely with sales and pre-sales teams to develop value propositions, define solutions, estimate projects, and participate in client presentations and conversations Design and recommend modern data architectures and solutions using technologies and platforms such as AWS, Microsoft Azure, Snowflake, Databricks, and other relevant components of the Data & AI ecosystem Lead discovery conversations with clients to understand their technical and business challenges, assess their data ecosystems, and identify modernization and transformation opportunities Translate business needs into viable, scalable technical solutions aligned with client objectives Provide technical leadership and guidance during pre-sales, design, and project kickoff phases, ensuring the quality and feasibility of proposed solutions Contribute to the development of Data & AI offerings, capabilities, accelerators, and solutions that strengthen and differentiate Keyrus's value proposition in the market Stay current on trends, technologies, and best practices related to Data Engineering, Cloud Data Platforms, Analytics, Data Governance, Modern Data Architectures, and Artificial Intelligence Collaborate with other practices and business lines to identify cross-selling opportunities and develop integrated solutions for clients Support the growth and development of the team's technical capabilities, acting as a reference and mentor for consultants, architects, and Data & AI specialists Participate in key talent evaluation for the practice and contribute to building teams with the capabilities needed to meet current and future business needs Represent Keyrus in strategic client conversations, events, webinars, and other initiatives that strengthen the company's positioning as a Data & AI reference 🧠 Who You Are You see practice leadership as the ability to build long-term market presence, not just deliver individual projects You naturally connect complex client challenges with modern data and AI solutions that generate measurable value You are comfortable engaging executives, facilitating strategic conversations, and influencing complex technology decisions You thrive in consultative environments where curiosity, technical depth, and business acumen create competitive advantage You balance practice growth ambition with a genuine interest in understanding your clients' long-term technology objectives You enjoy mentoring consultants and architects, shaping both solutions and the people who deliver them You bring an entrepreneurial mindset and actively create opportunities for the practice rather than waiting for them to appear 🛠️ What You Bring Qualifications / Certifications Bachelor's degree in Systems Engineering, Software Engineering, Computer Science, Data Science, or related fields; graduate studies or relevant Cloud/Data certifications are a plus 10+ years of professional experience in Data, Analytics, Cloud, or related disciplines, ideally with a career progression from technical roles into architecture, technical leadership, consulting, or practice management Technical Skills Strong background working in technology consulting or professional services firms, engaging directly with clients and participating in solution and project development Strong technical background in modern data architectures, Data Engineering, Cloud Data Platforms, Data Warehousing, Data Lakes, Lakehouse, and Analytics ecosystems Hands-on experience and solid knowledge of technologies and platforms such as AWS, Microsoft Azure, Snowflake, and Databricks Ability to understand complex business and technology challenges and translate them into concrete Data & AI solutions, architectures, and projects Experience actively participating in pre-sales processes, including discovery, requirements gathering, solution design, estimation, proposal development, and client presentations Strong communication skills and the ability to engage with different levels of an organization, from technical teams to business and executive leaders Ability to lead technical and consultative conversations with clients, build trust, and position as a reference in Data & AI topics Up-to-date knowledge of key data ecosystem trends, including Modern Data Stack, Cloud, Data Governance, Generative AI, and emerging Data & AI architectures and solutions ⭐ Nice-to-haves Experience leading technical teams, developing internal capabilities, and supporting the professional growth of consultants and specialists Strong commercial vision and results orientation, with the ability to identify opportunities and contribute to practice growth Ability to work in international, multicultural environments with distributed teams 🎯 What Makes You Successful Advanced English, with the ability to lead technical, commercial, and executive conversations with clients and international teams Strong stakeholder management and the ability to build trust across technical, business, and executive audiences A pragmatic, growth-oriented mindset that balances strategic vision with hands-on technical credibility Comfort operating in international, multicultural environments with distributed teams A natural mentoring instinct and commitment to developing the people around you Genuine passion for staying ahead of Data & AI trends and translating them into client value Role Details Location: Colombia Contract: Full-time, indefinite term Work Model: Flexible (Hybrid) Level: Director / Practice Lead Rewards - What We Offer at Keyrus 100% remote work International and multicultural projects Opportunities to work with leading technologies in the Digital Commerce ecosystem Access to training programs and continuous professional development Professional growth opportunities and internal mobility A culture built on collaboration, innovation, and continuous learning 🌍 What We Stand For Collective Intelligence — Collaboration across expertise, functions, and geographies makes it possible to combine know-how and deliver more comprehensive responses to client challenges. Reliability — The ability to deliver complex projects with rigour is one of the pillars of our client relationship. Pragmatism — Prioritising concrete impact and measurable value over abstract technological discourse. Entrepreneurial Spirit — Curiosity, energy, and freedom are the foundations of our culture; they enable initiative and sustained innovation. ABOUT KEYRUS At Keyrus, we help organizations move from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence. Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalize intelligence. Powered by our proprietary Human Orchestrated Model™ (HOM), we architect reliable: Intelligence Foundations Human in Command governance Performance Steering To create intelligent environments where technology amplifies human capabilities and performance compounds over time. With 30+ years of expertise and 2,800 employees across 28 countries, we help organizations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organizations. AI does not transform businesses. Architected intelligence does. Keyrus is listed on Euronext Growth Paris. (ALKEY – ISIN Code: FR0004029411 – Reuters: KEYR.PA – Bloomberg: ALKEY: FP). For more information: www.keyrus.com Departamento Data Ubicaciones Bogotá Estado remoto Híbrido Una cultura de equidad En Keyrus se vive la diversidad 🏳‍🌈 y multiculturalidad 🌍 : estamos en constante conexión con personas de diferentes partes del mundo, intercambiamos conocimientos, ideas y trabajamos fuertemente para entregar proyectos de excelente calidad. Conoce más .