IT Manager (People Manager)
NetApp, Inc. · Morrisville, NC, US · United States · On-site
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Job Summary
The IT Product Manager leading the Recurring Sales , Enablement and Effectiveness product team will be responsible for the partnership, road mapping, and delivery of technology services that will enable NetApp’s sales organization. The role will report to the IT Director, Sales.
In addition to serving as a key technology partner and advisor to the Sales organization, the role will also plan, implement, and operate NetApp Sales applications. This role and supporting team will also analyze the needs of the Sales department, establish priorities, provide solution design and implementation of application requirements, provide testing services and technical support for systems, subsystems, distributed systems, and systems software; and operate new and existing systems.
The Product Manager will manage a team of technology experts and will collaborate with peer managers across geographies and share delivery responsibilities in a matrixed organization. The Product Manager will also be responsible for contributing to program goals, plans and schedules, closely monitoring program execution, driving issue resolution and accepting the responsibility for ensuring successful achievement of program goals.
Responsibilities
Program & Portfolio Leadership
Lead strategic delivery of GTM application programs focusing on AI solutions, ensuring timely, scoped, and budgeted execution.
Drive portfolio planning, prioritization, and governance aligned with NetApp’s AI strategy and operational goals.
Develop program charters, work plans, reporting, and communication to support transformation.
Identify and mitigate risks; manage dependencies and remove obstacles.
AI First Capability Ownership
Define product vision and roadmaps embedding AI in workflows (e.g., agent assist, intelligent routing, predictive case avoidance).
Collaborate with teams to design scalable AI architectures, including models, data pipelines, governance, and integration.
Promote experimentation and rapid iteration to validate AI use cases with measurable results.
Ensure responsible AI practices: transparency, data governance, security, and performance monitoring.
Stakeholder & Cross Functional Engagement
Partner with leadership, IT, Data & AI teams, and process owners to align requirements and establish AI-enabled workflows.
Facilitate communication across business and technical teams for alignment and clarity.
Provide transparent updates, insights, escalations, and recommendations to senior leadership.
Operational Excellence & Continuous Improvement.
Ensure adherence to IT governance, best practices, and compliance.
Use analytics and metrics to optimize delivery and drive continuous improvement.
Support transformation initiatives like proactive support tiering, AI integration, real-time dashboards, and enhanced customer experience.
Change Management & Communication
Develop and execute change management…