**Responsibilities**:
- Lead the operation, maintenance, and continuous improvement of all Data & AI production systems, including Generative AI (GenAI) models and agentic platforms, ensuring high availability, reliability, and scalability.
- Define, implement, and monitor key performance indicators (KPIs) and service level agreements (SLAs) for Data & AI systems, proactively addressing any deviations.
- Establish and manage robust data quality frameworks, ensuring the accuracy, consistency, and integrity of data consumed and produced by AI solutions.
- Implement and oversee incident management, problem resolution, and root cause analysis processes for Data & AI operational issues.
- Collaborate with Data Science and AI Engineering teams to ensure that solutions are designed for operational efficiency, observability, and maintainability from inception (e.g., MLOps, DataOps practices).
- Optimize the performance of Data & AI models and pipelines in production, identifying bottlenecks and implementing solutions to enhance efficiency and speed.
- Foster strong relationships with business and technical stakeholders, providing clear, proactive communication on system status, planned changes, and incident resolutions.
- Lead and mentor a team of Data & AI operations professionals, promoting best practices, professional development, and a collaborative working environment.
- Develop and implement operational runbooks, documentation, and training programs to standardize and streamline Data & AI operational processes.
- Ensure compliance with L'Oréal's Responsible & Trustworthy AI principles and data governance policies throughout the operational lifecycle.
- In the beginning this role will also oversee Data & Analytics Solution Architecture, which may evolve in the future.
**Requirements**:
- Preferred - Degree in Computer Science, Business Analytics, Engineering, or a related field.




- Minimum of 5 years of leadership experience focused on the operational management of Data & AI systems, MLOps, DataOps, GenAI Ops, or related fields, and 10+ years building relevant solutions overall.
- Proven track record of operating and maintaining complex Data & AI solutions at scale, ensuring high availability and performance.
- Deep expertise in data quality management, monitoring, and remediation strategies for AI/ML pipelines and data platforms.
- Exceptional communication and interpersonal skills, with a consistent track record of building strong relationships and influencing senior business and technical stakeholders.
- Strong technical prowess in understanding and guiding Data & AI engineering teams on L’Oreal’s internal technical frameworks, operational best practices, reliability, and performance optimization.
- Experience in leading and mentoring technical teams, fostering a culture of operational excellence and continuous improvement.
- Solid understanding of cloud platforms (GCP highly preferred) and their services relevant to Data & AI operations (e.g., managed databases, serverless computing, ML platforms, Gen AI models and Agentic frameworks).
- Familiarity with monitoring tools, logging systems, and automation frameworks pertinent to Data & AI operational environments.
- Demonstrated experience in vendor management, contract negotiation, and budget oversight.
- Ability to work independently and collaboratively in a fast-paced, rapidly changing environment.
- Strong bias for action, with a focus on delivering robust and reliable operational outcomes.
- Ability to execute in the short term while designing for future operational scalability and stability.
- Ability to travel between USA, Mexico, Canada, Brazil and other Americas markets, 4-5 times a year.
- Highly preferred - Experience operating in a highly cross-functional, multinational business.

📌 IT Data & Ai - Run Excellence Director (Estado de México)
🏢 L'Oréal
📍 Estado de México