Sr Manager, Data Engineering

Full-time - Manager

Columbus, OH

About the position

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. CoverMyMeds is looking for a Sr Manager, Data Engineering to join our Business Support team. The Sr Manager, Data Engineer leads a data engineering team comprised of highly technical and results-driven engineers, analysts and architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work this data engineering team performs ultimately helps get more people the medicine they need to live healthier lives.

Responsibilities

• Lead, mentor, guide, and grow a team of talented engineers and analysts to deliver products with high quality, on time delivery and designed to meet the needs of the business.
• Understand how end users leverage data throughout the organization, considering the perspective of Operations, Client Management, Decision Intelligence and Data Science and recommend solutions to improve data availability and ease of use.
• Regularly communicate the status of team initiatives to IT leadership, clients and business partners.
• Participate and collaborate in design reviews to communicate high-level approaches with team members to validate strategic client and business needs are met and established processes are followed.
• Provide evaluations, analysis, and recommendations for system enhancements, performance optimization techniques, and development methodology advancements.
• Stay up to date on the features and functions of our data platforms, understanding and able to speak to the technical capabilities regarding Data Warehousing, Master Data, Data Privacy, Data Masking and Data Migration.
• Ensure that team is tracking and communicating team capacity and velocity.
• Serve as a coach to help business stakeholders and team prioritize work within team capacity.

Requirements

• Typically has 9+ years of professional experience and 1+ years of management experience.
• Experience working in complex environments with legacy systems.
• Understanding of Data Integration/ETL tools and concepts, with the ability to guide discussions with a highly technical team on design approach.
• Experience gathering requirements and working with Business owners.
• 5+ years’ experience in project management, requirements definition and/or deployment of business requirements to information systems.
• Deep understanding of the function and business value of data platforms or a strong aptitude and desire to obtain the knowledge necessary to be the conduit between our data teams and our business partners.
• Experience with overseeing and optimizing data warehouse operations, ensuring high availability, scalability, and performance.
• Ability to lead the modernization strategy from on-premises (Linux, Oracle, Perl, Python) to cloud-based platforms like Azure, Databricks, and Snowflake.
• Experience with ensuring smooth migration of ETL processes, data pipelines, and workflows, while maintaining data integrity and security.
• Experience with ensuring compliance with HIPAA, security, and governance best practices in a highly regulated healthcare data environment.
• Ability to partner with business, product, and compliance teams to align engineering efforts with organizational priorities.
• Experience collaborating with security and infrastructure teams to maintain compliance and operational stability.

Nice-to-haves

• 10+ years of experience in data engineering, with at least 3+ years in a leadership role managing high-performing engineering teams.
• Strong expertise in data warehousing, ETL, and large-scale data processing in Linux and Oracle-based environments.
• Experience managing and migrating legacy Oracle, Linux, Perl, and Python-based systems to modern cloud platforms (Azure, Databricks, Snowflake preferred).
• Proven ability to lead, mentor, and develop teams through modernization and cloud transformation.

Benefits

• Competitive compensation package including base pay and potential annual bonus or long-term incentive opportunities.
• Flexible hours and paid benefits.
• Recognition as a 'Best Place to Work' by Glassdoor and a 'Best Company to Work For' by Fortune.