We are seeking a Director - Data & AI Engineering to provide leadership for high-impact data and machine learning engineering programs across global business functions. This role is crucial for driving the development and management of scalable data platforms and fostering a culture of innovation and excellence within the team.
Roles and Responsibilities
- Provide leadership for high-impact data and machine learning engineering programs across global business functions.
- Drive development and management of scalable data platforms, pipelines, and AI / ML solutions supporting key enterprise priorities.
- Guide cross-functional teams in requirement gathering, architecture design, deployment, and change management.
- Manage a growing team of data and AI professionals and foster a culture of innovation and excellence.
- Represent the Data & AI Engineering team in global forums and leadership presentations.
Skills Required
A Bachelor's degree in Computer Science, Engineering, or related fields (Master's preferred).Expertise in data engineering, database management, and machine learning lifecycle with tools such as SQL, Python, Redshift, AWS Sagemaker, and LLMs.Deep understanding of cloud-native data platforms and modern ML / GenAI applications.Demonstrated ability to manage large-scale technical teams and mentor top talent.Experience in working with global teams and cross-cultural collaboration.Strong communication and stakeholder management skills.Passion for leveraging data and AI to solve complex business challenges and deliver measurable impact.Skills Required
data engineering , Database Management, Machine Learning, Stakeholder Management, Ai Development, Sql, Python