Sequoia Sr. Director, AI Business Architecture & Enterprise Adoption
Job Summary
Reporting to the CIO, the Sr. Director, AI Business Architecture & Enterprise Adoption will lead NetApp's approach to AI-enabled business transformation — designing the operating model for AI adoption, driving business-side governance, and ensuring measurable value realization across business functions.
This role partners closely with NetApp's AI Engineering team, which builds and operates the company's enterprise AI Shared-Services platform, along with Application Engineering teams, who own vertically oriented AI capabilities within their respective application portfolios. AI Business Architecture focuses on the demand side of that partnership: driving adoption of the platform across business functions, designing how the business consumes AI, and leading the transformation initiatives needed to turn AI capability into measurable business outcomes.
This leader partners across business, product, data, security, legal, HR, and finance organizations to convert a growing enterprise AI capability into scaled business transformation. The role combines business architecture discipline with AI adoption leadership: guiding executives through AI-enabled change, connecting business outcomes to available AI capabilities, shaping investment priorities on the adoption side, and ensuring initiatives deliver measurable results.
As a senior member of the IT leadership team, this leader serves as a trusted advisor to executive leadership on where and how to apply AI across the enterprise.
Job Responsibilities
AI Enablement Strategy & Transformation
Define NetApp's AI enablement strategy: how business functions adopt and apply AI capabilities to drive transformation outcomes.
Develop multi-year adoption and transformation roadmaps connecting available AI capabilities to measurable business outcomes, productivity improvements, and customer value.
Identify which business processes and functions are best positioned to benefit from existing and emerging AI capabilities, and prioritize where transformation effort should focus.
Partner with executive leadership to prioritize which business problems get solved with AI, and align transformation initiatives to business value realization.
Serve as a trusted advisor to senior leaders on AI adoption, business readiness, and transformation sequencing.
Business Architecture & Strategy-to-Execution
Guide business leaders through transformation and optimization initiatives that leverage AI, automation, and analytics capabilities.
Develop business architecture deliverables: business capability models, value stream assessments, operating model designs, business outcome frameworks, and transformation roadmaps.
Translate enterprise strategy into business capabilities, adoption plans, and executable transformation programs.
Partner with business and IT leaders to assess opportunities for revenue growth, cost optimization, risk mitigation, customer experience enhancement, and operational excellence.
Facilitate executive decision-making on transformation priorities, operating model evolution, and AI-enabled ways of working.
Create clear line-of-sight between strategic objectives, available AI capabilities, and measurable outcomes.
AI Adoption Operating Model & Portfolio Visibility
Design the adoption-side operating model: decision rights, intake processes, and prioritization frameworks for business-initiated AI use cases, embedded into existing business funding and planning processes.
Build and lead a network of embedded AI champions across business functions who translate business needs upward and drive local adoption.
Create enterprise visibility into business-facing AI use cases, adoption status, business ownership, and expected outcomes.
Partner with Legal and Risk to define an independent review checkpoint for responsible AI use, covering business impact, privacy, and regulatory exposure.
Drive consistency in how business functions adopt AI, reducing duplicate or ungoverned AI initiatives across the business.
Data, AI & Business Capability Enablement
Partner with data and AI leaders to understand data readiness, governance, and quality constraints that shape what's achievable for business adoption.
Connect business architecture, adoption planning, and data/AI capability into one enablement framework.
Identify where predictive AI, generative AI, agentic AI, and intelligent automation can be applied to specific business problems.
Advise business leaders on how their own data maturity, process maturity, and organizational readiness affect their ability to adopt AI successfully.
Promote reuse of shared platforms and standardized practices rather than one-off business-unit builds.
Job Requirements
- 10+ years in business technology leadership, business architecture, digital transformation, product strategy, management consulting, or related disciplines.
- 5+ years of senior leadership experience influencing executive stakeholders in large, matrixed organizations, including leading through influence over teams and functions outside direct management.
- Proven ability to connect business strategy, operating model design, and technology capabilities to measurable business outcomes.
- Experience designing adoption operating models, embedded champion or liaison networks, or federated operating structures.
- Strong executive communication, facilitation, and stakeholder management skills.
- Demonstrated experience driving enterprise change and cross-functional adoption programs.
- Working understanding of AI, automation, and analytics sufficient to have credible technical conversations with engineering leadership.
Compensation:
The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings’ (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. 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, employee stock purchase plan, and/or restricted stocks (RSU’s). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.
Why You'll Thrive at NetApp
At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Submitting an Application
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
AI Disclosure
For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.