Valvoline Global Operations · 2 weeks ago
Sr Manager Application Development
Valvoline Global Operations is a pioneer in the automotive and industrial solutions industry, committed to innovation and sustainability. They are seeking a Senior Manager to lead their Data Engineering and MLOps functions, guiding a team responsible for building and operationalizing the enterprise data platform for analytics and machine learning.
Oil & Energy
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
Qualification
Required
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
Preferred
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
Company
Valvoline Global Operations
Valvoline™ Global is a worldwide leader in automotive and industrial solutions, creating future-ready products and best-in-class services for partners around the globe.
H1B Sponsorship
Valvoline Global Operations has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1)
2024 (2)
2023 (5)
Funding
Current Stage
Late StageCompany data provided by crunchbase