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Senior Manager Application Development

valvoline.com Logo

Valvoline

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

  • 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

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 have:

  • 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

Additional Information:

Job Posted:
February 13, 2026

Work Type:
Remote work
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