AI GTM Transformation Lead

About the role

The AI GTM Transformation Lead will lead the end-to-end AI transformation of NetApp's Go-to-Market (GTM) Revenue Operations organization. This role is responsible for shaping how AI is applied across GTM RevOps, turning fragmented ideas into a coherent portfolio of scalable, governed, high-value transformation initiatives.

Responsibilities

• Own the GTM RevOps AI transformation roadmap, aligning AI initiatives to business priorities, operational outcomes, and measurable value.
• Serve as the strategic leader connecting business goals, process design, governance, adoption, and execution.
• Identify, assess, and prioritize high-impact AI, automation, and workflow transformation opportunities.
• Partner with stakeholders to define business requirements, future-state processes, success metrics, dependencies, and governance needs.
• Prepare initiatives for investment and portfolio review through structured evaluation and prioritization.
• Reimagine workflows to optimize collaboration between people and AI agents.
• Define autonomy levels, exception handling, governance controls, and scalability requirements.
• Drive initiatives from proof-of-concept through pilot and enterprise-scale deployment.
• Coordinate business, data, platform, and AI delivery teams to execute transformation initiatives.
• Translate business needs into requirements, user stories, acceptance criteria, and operational processes.
• Ensure solutions are scalable, integrated, and aligned with enterprise governance standards.
• Contribute to AI governance forums, prioritization decisions, and operating model design.
• Ensure appropriate attention to risk, security, compliance, and data governance.
• Partner with change leaders to build adoption, enablement, and trust across GTM teams.
• Establish and track metrics for adoption, productivity, quality, efficiency, and business impact.
• Use operational insights and user feedback to refine solutions, improve agent performance, and evolve the AI roadmap.
• Stay current on emerging AI capabilities and identify opportunities that create practical business value.

Education and Experience

• Typically requires a minimum of 15 years of related experience.
• Deep experience in Revenue Operations, GTM Operations, Sales Operations, Customer Operations, Solutions Engineering, or a closely related GTM function, with a strong understanding of how go-to-market teams operate end to end.
• Proven ability to lead complex, cross-functional transformation initiatives that require influence across business, technical, and operational stakeholders.
• Strong program and portfolio orchestration skills, including prioritization, dependency management, executive communication, and delivery alignment across multiple initiatives.
• Experience designing workflows, service models, or operating processes that span people, systems, data, and governance.
• Strong understanding of AI-assisted workflows, copilots, agentic automation, or intelligent process redesign.
• Ability to define value cases, KPIs, and success metrics for transformation programs and hold initiatives accountable to business outcomes.
• Experience working with ambiguity and building new operating models or capabilities where no playbook exists.
• Excellent executive presence and communication skills, with the ability to synthesize complex issues and influence senior leaders.
• Comfort partnering with technical teams and working across APIs, prompts, automation platforms, AI tools, and data/system dependencies, even if not acting as the primary engineer.
• Demonstrated ability to simplify complex concepts and enable broad adoption among non-technical users.

Compensation

The target salary range for this position is 196,350 - 292,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.