Execute, oversee, and evolve the end-to-end lifecycle of advanced Data Science and AI solutions, ensuring technical excellence, scalability, and strategic impact.
Define the organization's strategic vision for data and artificial intelligence, identifying opportunities for innovation, operational efficiency, and revenue generation.
Serve as the technical reference for the area, supporting critical decisions on architecture, algorithms, infrastructure, and data governance.
Lead the data solutions portfolio, ensuring long-term sustainability, mitigation of technical risks, and alignment with corporate strategy.
Directly influence executive leadership and business units, acting as a strategic technical advisor in defining priorities and investments.
Structure and develop the Data Science function, defining standards, technology stacks, technical roles, succession plans, and retention strategies for key talent.
Develop technical leaders by providing advanced mentorship, knowledge-sharing sessions, and fostering a culture of technical excellence and collaboration.
Ensure maturity in governance, security, observability, and compliance for models and data at enterprise scale.

Established track record in Data Science with demonstrable impact at an organizational and strategic level.
Advanced experience in data and AI systems architecture, including cloud environments and scalable solutions.
Strong business acumen, with the ability to translate strategic challenges into robust technical solutions.
Proven experience in senior technical leadership, defining technology stacks, and making decisions in complex environments.
Excellent communication, influencing, and negotiation skills with executive leadership.
Experience with cloud services (AWS, Azure, or GCP).

Senior Data Scientist

Key skills