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Sr Manager, Data Process Excellence & Transformation

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: McKesson
Full Time position
Listed on 2026-10-12
Job specializations:
  • Management
    Change Management, Operations Management
Salary/Wage Range or Industry Benchmark: 116000 - 193000 USD Yearly USD 116000.00 193000.00 YEAR
Job Description & How to Apply Below

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.

The Sr Manager, Data Process Excellence & Transformation with Cover My Meds  is responsible for leading the operational processes that support client data feeds and data products. This role owns process design, operational execution, operational quality management, automation, and continuous improvement activities that ensure reliable, scalable, and efficient client-facing data operations. This role will play a key leadership role in transforming legacy operational processes into standardized, scalable, and highly automated capabilities that support the future growth of DT&O.

The position is accountable for modernizing and standardizing operational processes, driving adoption of automated quality controls and monitoring, and leading organizational change to improve service reliability, operational efficiency, and client outcomes.

Success in this role requires a balance of operational leadership, process management, quality oversight, and transformation leadership. The ideal candidate is energized by building new capabilities, challenging existing ways of working, and leading teams through significant operational change.

This role is focused on operational leadership, process management, operational quality management, automation strategy, and service execution. While the position partners closely with data engineering, analytics, and technology teams, it is not responsible for software engineering delivery or direct engineering team leadership.

Responsibilities Process Leadership & Continuous Improvement
  • Lead the design, documentation, standardization, and optimization of operational processes supporting client data feeds and data products.
  • Identify and implement opportunities to simplify workflows, eliminate manual effort, reduce operational risk, and improve scalability.
  • Establish and maintain process governance, procedures, controls, and operational standards.
  • Drive continuous improvement initiatives focused on service quality, efficiency, automation, and operational maturity.
  • Lead organizational and process change management efforts, ensuring successful adoption of new processes, tools, and ways of working.
Operations Management
  • Oversee day-to-day operations supporting client-facing data feeds and data products.
  • Ensure operational activities consistently meet service commitments, delivery schedules, and business expectations.
  • Manage operational issue resolution, escalations, root cause analysis, and corrective action planning.
  • Develop and monitor operational performance metrics and service measures to drive accountability and transparency.
  • Partner with business, product, engineering, and client-facing teams to ensure operational readiness and execution excellence.
Quality Management & Automation
  • Establish and continuously enhance quality processes for client data products and data feeds through automated validations, reconciliation controls, monitoring, and exception management.
  • Lead the evolution of quality management practices from manual review activities toward scalable, automated quality controls and exception-based processing.
  • Define operational quality standards and ensure delivered outputs meet accuracy, completeness, and reliability expectations.
  • Implement monitoring, alerting, and quality reporting processes that proactively identify issues before client impact occurs.
  • Drive improvements that increase confidence in delivered products while reducing reliance on manual quality verification activities.
Leadership & Team Development
  • Lead and develop a team of operational and process management professionals.
  • Build a culture of accountability, operational excellence, continuous improvement, and client focus.
  • Coach and mentor team members on process management, problem solving, quality practices, and operational leadership.
  • Define team priorities, goals, and development plans aligned with organizational objectives.
  • Foster…
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