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# Senior Manager, Data Engineering

- **Company:** Owens & Minor, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $155,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Business Intelligence Development, Cloud Database, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Meta-Data Management, Power BI, DataOps, Enterprise Data Management, Informatica Powercenter, Snowflake, Information Technology, Data Management
- **Published:** July 31, 2026
- **Apply:** https://bettergreenvillejobs.com/job_view.php?bjobid=36309546769&keyword=%C2%AEion_browse=&category=999

## About the Role

Required

 - Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)

 - 8+ years of experience in data engineering, analytics, or business intelligence

 - 3+ years of experience leading technical teams

 - Strong expertise with modern data platforms (e.g., Snowflake, ETL/ELT tools, Power BI)

 - Experience managing multiple concurrent projects and prioritizing competing demands

 - Demonstrated experience developing roadmaps and managing budgets

 - Strong communication and stakeholder management skills

Preferred

 - Experience with enterprise data platform modernization and cloud data architectures

 - Familiarity with data governance, data quality, and metadata management practices

 - Experience implementing self-service analytics frameworks at scale

 - Exposure to AI/ML or intelligent automation within data platforms

## Description

The position is accountable for ownership of key data technologies including Snowflake, Power BI, Informatica, and related integration platforms, ensuring scalable, reliable, and cost-effective data solutions across the enterprise. The role is fully remote. Applicants in different states are encouraged to apply.

Key Responsibilities

Leadership & Team Management

 - Lead, mentor, and develop a team of data engineers and BI developers

 - Establish delivery standards, performance expectations, and career development plans

 - Promote a culture of accountability, innovation, and continuous improvement

 - Foster a high-performing engineering culture focused on accountability, delivery excellence, innovation, operational maturity, and continuous improvement

Data Platform Ownership

 - Own and manage enterprise data platforms including Snowflake, Informatica, and Power BI

 - Ensure platform performance, scalability, reliability, and security

 - Drive standardization of data engineering practices, architecture, and delivery frameworks

 - Drive modernization of enterprise data architecture, integration patterns, and cloud data capabilities

 - Establish scalable DataOps and platform governance practices to improve reliability, observability, and delivery efficiency

Portfolio & Delivery Management

 - Manage a large portfolio of data and analytics demand across business functions

 - Prioritize initiatives and ensure alignment with strategic objectives

 - Design and implement repeatable, scalable solutions to improve speed and consistency of delivery

Roadmap & Financial Management

 - Develop and maintain multi-year technology roadmaps for data and analytics platforms

 - Lead annual budget planning, forecasting, and ongoing financial management

 - Optimize platform costs while maintaining service quality and delivery timelines

Solution Design & Optimization

 - Evaluate solution viability including technical feasibility, cost, and long-term sustainability

 - Continuously improve platforms to increase delivery velocity and operational efficiency

 - Drive modernization initiatives to enhance data architecture and integration capabilities

AI & Self-Service Enablement

 - Expand AI-enabled services and capabilities within the data platform ecosystem

 - Enhance business self-service analytics through governed datasets and reporting frameworks

 - Increase adoption of scalable, reusable data products across the organization

Stakeholder Collaboration

 - Build strong partnerships across IT (Infrastructure, Applications, Security) and business units

 - Translate business requirements into technical solutions aligned with enterprise standards

 - Ensure transparent communication of priorities, progress, risks, and outcomes


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