AI Tech Transformation Manager

LaPieza; United States; On-site; MXN 1,732,202 - 2,078,642; Full time

Job summary

A leading technology firm in Mexico City is seeking an AI Tech Transformation Manager to oversee the operation and optimization of Data & AI systems. This role requires at least 10 years of experience in building large-scale Data & AI solutions and managing complex teams. Responsibilities include the maintenance of production systems, ensuring data quality, and leading technical teams towards operational excellence. Candidates must have strong cloud knowledge, preferably in GCP, excellent communication skills, and a willingness to travel within the Americas.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Business Analytics, or a related discipline (advanced degree preferred).
• At least 10 years of experience building and operating Data & AI solutions, including 5+ years in leadership roles focused on MLOps, DataOps, or GenAIOps.
• Proven success in managing complex, large-scale Data & AI systems with high performance and availability.
• Strong background in data quality management, monitoring, and remediation strategies for AI/ML and data platforms.
• Excellent communication and relationship-building skills.
• Hands-on experience in production support, incident management, and problem-solving for Data & AI applications.
• In-depth understanding of cloud ecosystems (preferably GCP) and related services for Data & AI operations.
• Ability to perform effectively in dynamic, fast-changing environments.

Responsibilities

• Lead the operation, maintenance, and continuous enhancement of all Data & AI production systems.
• Define, implement, and monitor KPIs and SLAs for Data & AI operations.
• Establish and manage data quality frameworks.
• Oversee incident management and problem resolution processes.
• Collaborate with Data Science and AI Engineering teams.
• Optimize model and pipeline performance in production.
• Build and maintain strong partnerships with business and technical stakeholders.
• Lead and mentor teams of Data & AI operations professionals.
• Develop and standardize operational documentation.
• Evaluate and integrate emerging tools and technologies.
• Ensure alignment with responsible AI and data governance policies.

Job description

We are seeking a AI Tech Transformation Manager responsible for ensuring the seamless operation, maintenance, and optimization of enterprise Data & AI systems.

This role is pivotal in transforming Analytics, Machine Learning, and Generative AI initiatives from development into reliable, scalable, and high-performing operational environments. The position requires a technically grounded leader with strong expertise in Data & AI architecture and operational frameworks, capable of managing complex, multi-regional teams and driving a culture of operational excellence and continuous improvement.

Key Responsibilities

• Lead the operation, maintenance, and continuous enhancement of all Data & AI production systems, including Generative AI models and agentic platforms, ensuring stability, reliability, and scalability.
• Define, implement, and monitor KPIs and SLAs for Data & AI operations, proactively identifying and addressing deviations.
• Establish and manage data quality frameworks to guarantee accuracy, consistency, and integrity across AI and data environments.
• Oversee incident management and problem resolution processes, ensuring thorough root cause analysis and prevention strategies.
• Collaborate with Data Science and AI Engineering teams to embed operational efficiency, observability, and maintainability into solution design.
• Optimize model and pipeline performance in production, identifying bottlenecks and applying improvements to enhance speed and efficiency.
• Build and maintain strong partnerships with business and technical stakeholders, providing transparent communication on system health and operational changes.
• Lead and mentor teams of Data & AI operations professionals, promoting best practices, continuous learning, and collaboration.
• Develop and standardize operational documentation, runbooks, and training to ensure consistency across Data & AI operations.
• Evaluate and integrate emerging tools and technologies to enhance automation, monitoring, and operational effectiveness.
• Ensure alignment with responsible AI and data governance policies throughout the system lifecycle.
• Initially oversee Data & Analytics Solution Architecture, with potential evolution of scope over time.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Business Analytics, or a related discipline (advanced degree preferred).
• At least 10 years of experience building and operating Data & AI solutions, including 5+ years in leadership roles focused on MLOps, DataOps, or GenAIOps.
• Proven success in managing complex, large-scale Data & AI systems with high performance and availability.
• Strong background in data quality management, monitoring, and remediation strategies for AI/ML and data platforms.
• Excellent communication and relationship-building skills, with the ability to influence senior technical and business stakeholders.
• Demonstrated experience leading technical teams and fostering a culture of operational excellence and improvement.
• Hands-on experience in production support, incident management, and problem-solving for Data & AI applications.
• In-depth understanding of cloud ecosystems (preferably GCP) and related services for Data & AI operations.
• Knowledge of monitoring, logging, and automation frameworks relevant to production environments.
• Experience managing vendors, contracts, and budgets.
• Ability to perform effectively in dynamic, fast-changing environments, balancing short-term execution with long-term scalability.
• Willingness to travel across regions within the Americas several times per year.
• Preferred: experience in multinational, cross-functional organizations within CPG, retail, or high-tech sectors.

Technical & Change Expertise

• Deep expertise in MLOps, DataOps, and GenAIOps frameworks.
• Advanced knowledge of cloud-based Data & AI ecosystems and architectures (GCP preferred).
• Strong command of monitoring, automation, and reliability engineering practices for production AI systems.
• Familiarity with agentic frameworks and generative AI operationalization.
• Proven ability to establish and govern data quality and compliance frameworks across AI initiatives.

Leadership & Communication

• Skilled at leading distributed technical teams across multiple regions and time zones.
• Effective communicator, capable of translating complex technical insights into actionable, business-relevant messages.
• Strong stakeholder management, fostering trust and collaboration across technical and non-technical audiences.
• Leadership approach centered on empowerment, accountability, and continuous improvement.