Senior Manager Data Engineering and MLOps

Valvoline Global • Cincinnati, OH

1d • Onsite

About The Position

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. The ideal candidate has deep experience in Databricks for data engineering, data governance, and MLOps, with the demonstrated ability to leverage SAP systems such as SAP BW/4HANA, SAP S/4HANA, and SAP Datasphere. This leader will play a critical role in delivering trusted, high-quality data and ensuring our platforms are scalable, reliable, and aligned to business needs. This role will be based out of our new Global Headquarters in Cincinnati, OH that is scheduled to open in the Spring of 2027!

Requirements

• 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.
• Strong expertise in Databricks, including Spark/PySpark, Delta Lake, Unity Catalog, MLflow, and workflow orchestration.
• Strong understanding of data engineering principles, ELT/ETL design, modern data warehousing, and cloud data architectures.
• Proven ability to quickly learn and adopt SAP data technologies (SAP BW/4HANA, SAP S/4HANA, SAP Datasphere).
• Experience with cloud platforms such as Azure, AWS, or GCP, including data storage, compute, orchestration, and DevOps tooling.
• Proficiency in SQL and at least one programming language (Python preferred).
• Experience implementing CI/CD and DevOps practices for data and machine learning pipelines.
• Strong communication, stakeholder management, and cross-functional leadership skills.

Nice To Haves

• Hands-on experience with Databricks lakehouse architecture, including Delta Lake, Unity Catalog, MLflow, and advanced Spark optimization.
• Practical experience working with SAP Datasphere or other SAP data environments for modeling and integration scenarios.
• Familiarity with SAP BW or SAP HANA data structures and extractors.
• Understanding of data governance frameworks, access management, and data security best practices.
• Experience supporting or enabling data science teams through feature engineering, model deployment, and MLOps tooling.
• Exposure to real-time or streaming data integration frameworks.
• Certifications in Databricks, SAP, or major cloud platforms are a plus.
• Experience with BI tools such as Power BI or Tableau.

Responsibilities

• 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).
• Oversee integration of SAP systems—including SAP BW/4HANA, SAP S/4HANA, and SAP Datasphere—into cloud data platforms and analytics environments.
• Partner with data architects, analysts, data scientists, and business stakeholders to gather requirements and deliver data solutions that support strategic objectives.
• Establish and manage MLOps frameworks for automated model training, deployment, monitoring, and lifecycle management using Databricks and MLflow.
• Ensure and enforce data quality, metadata management, lineage tracking, and governance standards across the data ecosystem.
• Implement monitoring, observability, and incident management processes to maintain platform reliability, performance, and uptime.
• Evaluate emerging tools, technologies, and best practices in modern data engineering, SAP integration, cloud architecture, and machine learning operations.
• Create documentation, reusable frameworks, and standards to ensure consistency, transparency, and scalability across all data processes.
• Collaborate with security, cloud, SAP, and enterprise architecture teams to ensure compliance, safety, and alignment with corporate technology strategy.

Benefits

• Valvoline Global is an equal opportunity employer. We are dedicated to fostering an environment where every individual feels valued, respected, and empowered to contribute their unique perspectives and skills. We strictly prohibit discrimination and harassment of any kind, regardless of race, color, religion, age, sex, national origin, disability, genetics, veteran status, sexual orientation, gender identity, or any other legally protected characteristic.
• We are committed to ensuring accessibility throughout our recruitment process. If you require a reasonable accommodation to participate in any stage of the recruitment or selection process, please contact us at: Email: [email protected]

What This Job Offers

• Job Type: Full-time
• Career Level: Senior