Data Process Excellence Leader -Transformation & Automation

McKesson Corporation; Atlanta (GA); On-site; USD 116,000 - 193,000; Full time

Job summary

McKesson Corporation in the United States seeks a Sr Manager, Data Process Excellence & Transformation to lead client data feeds and data product operations, driving standardized, scalable processes and automated quality controls.

You will own process design, governance, and transformation efforts, partnering with data engineering, analytics, product, and business teams to deliver reliable, high-impact data operations and improved service outcomes.

Qualifications

• Degree or equivalent experience required.
• 9+ years of relevant experience in operational, process management, data operations, or service delivery functions.
• Experience in leading operational transformation initiatives, including process redesign and automation adoption.
• Experience implementing quality controls, monitoring, governance practices, and operating with accountability.

Responsibilities

• Lead design, documentation, standardization, and optimization of operational processes for client data feeds and products.
• Oversee day-to-day data operations ensuring service commitments and delivery schedules are met.
• Establish automated quality controls, monitoring, and exception management to improve reliability.
• Develop metrics and governance to drive accountability and continuous improvement.
• Coach and develop a high-performing team, aligning priorities with business objectives.

Skills

Operational leadership

Process management

Data operations

Automation

Quality management

Team leadership

Change management

Education

Bachelor's degree or equivalent

Job description

McKesson Corporation in the United States seeks a Sr Manager, Data Process Excellence & Transformation to lead client data feeds and data product operations, driving standardized, scalable processes and automated quality controls.

You will own process design, governance, and transformation efforts, partnering with data engineering, analytics, product, and business teams to deliver reliable, high-impact data operations and improved service outcomes.