Senior Manager, Data Process Excellence – Transformation

McKesson

. Lead the design, documentation, standardization, and optimization of operational processes supporting client data feeds and data products .

Posted 10/7/2026full-timeRemote • United StatesSenior💰 $115,500 - $192,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in operational process design, governance, and continuous improvement, with a strong focus on automation and quality control. Proven ability to lead teams, manage client-facing operations, and drive organizational change in data-driven environments.

Highest-signal resume keywords

Operational Process ManagementQuality Control ImplementationData Operations LeadershipProcess Improvement MethodologiesAutomation Adoption

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Process DesignOperational GovernanceData Quality StandardsPerformance Metrics DevelopmentRoot Cause AnalysisWorkflow OptimizationAutomation FrameworksService Delivery ManagementChange ManagementAnalytical Problem-Solving

Soft Skills

LeadershipCoachingCollaborationMentoringDecision-Making

Tools & Technologies

Cloud-Based Data EnvironmentsAutomated Validation ToolsMonitoring SystemsException Management Tools

Industry Keywords

Operational ExcellenceClient-Facing Data OperationsService CommitmentsData ProductsProcess Standardization

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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 and adoption of new processes, tools, and ways of working
Oversee day-to-day operations supporting client-facing data feeds and data products
Ensure operational activities 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
Partner with business, product, engineering, and client-facing teams on operational readiness and execution
Establish and enhance quality processes through automated validations, reconciliation controls, monitoring, and exception management
Lead the transition from manual quality reviews to scalable, automated quality controls and exception-based processing
Define operational quality standards and ensure outputs meet accuracy, completeness, and reliability expectations
Implement monitoring, alerting, and quality reporting processes
Lead and develop a team of operational and process management professionals
Coach and mentor team members and define team priorities, goals, and development plans
Foster collaboration across technology, product, analytics, and business stakeholders

Requirements

What you’ll need

Degree or equivalent experience
Typically 9+ years of relevant experience leading operational, process management, data operations, or service delivery functions
Experience managing client-facing operational processes and service commitments
Success leading operational transformation initiatives, including process redesign, automation adoption, standardization, and quality improvement
Experience implementing quality controls, monitoring, automation, and operational governance practices
Proven leadership experience managing teams and driving organizational change
Strong analytical, problem-solving, and decision-making skills
Experience supporting data products, data feeds, operational data services, or client-facing data operations
Experience building automated operational controls and quality validation frameworks
Experience working within cloud-based data and analytics environments
Knowledge of process improvement methodologies and operational excellence practices
Experience managing cross-functional initiatives involving business and technology teams
Must be currently authorized to work in the United States full-time without employer support or sponsorship now or in the future

Benefits

Comp & perks

Competitive compensation package
Annual bonus may be offered
Long-term incentive opportunities may be offered
Benefits included in McKesson’s Total Rewards package
Equal employment opportunities
Reasonable accommodation for job search or application