Senior Manager Data Engineering and MLOps

Job Purpose

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!

How You Make an Impact (Job Accountabilities)

• 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 systemsincluding SAP BW/4HANA SAP S/4HANA and SAP Datasphereinto 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.

What You Bring to the Role (Job Qualifications / Education / Skills / Requirements / Capabilities)

• Bachelors or Masters degree in Computer Science Engineering Information Systems Data Engineering or a related field.

• 812 years of experience in data engineering data platforms or analytics technology roles.

• 35 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.

Competencies Desired

• 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.

Working Conditions / Physical Requirements / Travel Requirements

• Working Conditions / Physical Requirements: Office setting

• Travel Requirements: up to 10%