Head of AI and Data Platform Engineering - Specialty Distribution

About this kind of role

What a Head of AI and Data Platform Engineering - Specialty Distribution usually does. The employer's own details are in the listing.

Typically does: Leads the strategy, development, and maintenance of an organization’s artificial intelligence and data platform. This role involves overseeing data engineering, machine learning engineering, and data science teams to ensure data is accessible, reliable, and used effectively for business insights and AI applications. Responsibilities include establishing data governance policies, optimizing data pipelines, and driving innovation in AI and data technologies. The Head of AI and Data Platform Engineering also collaborates with business stakeholders to identify opportunities for leveraging data and AI to improve operations and decision-making.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), data warehousing technologies (e.g., Snowflake, Redshift), big data processing frameworks (e.g., Spark, Hadoop), machine learning tools (e.g., TensorFlow, PyTorch), and strong programming skills (e.g., Python, SQL) are generally required.

Good fit for: Individuals with a strong technical background in data engineering and machine learning, combined with leadership experience and a passion for driving data-driven innovation, often thrive in this role.