*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.