We are seeking an experienced and forward-thinking Senior Manager to lead our Data Engineering and MLOps functions within Valvoline Global. This role will guide a team responsible for designing, building, and operationalizing the enterprise data platform that powers analytics, reporting, and machine learning across the organization.
What you'll do
- Lead, mentor, and develop a high-performing Data Engineering and MLOps team that supports enterprise data and analytics initiatives.
- Design, build, and optimize robust, scalable, and high-performance data pipelines and data products using Databricks (PySpark, Delta Lake, Unity Catalog).
What you need
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Data Engineering, or a related field.
- 8–12+ years of experience in data engineering, data platforms, or analytics technology roles.
- 3–5+ years of leadership experience managing technical teams or driving enterprise-scale data initiatives.
