AI Data Infrastructure Strategy & Vision
Define and own the holistic AIDI product strategy, centered on ONTAP‑based data services delivered across multiple hardware platforms, integrated systems, reference designs, and full solution architectures.
Develop a phased AIDI roadmap, clearly articulating MVP capabilities, platform extensions, and long‑term architectural evolution.
Identify and prioritize AI workload use cases (training, fine‑tuning, inference, multi‑tenant AI platforms), and map them to storage platforms, data services, and deployment models.
Reference Architectures & Partner Ecosystem
Lead co‑development and integration efforts with strategic technology partners, spanning compute, accelerator, networking, and platform ecosystems.
Define, productize, and maintain validated reference architectures and certified AI designs (e.g., clustered AI platforms, modular AI stacks), ensuring they are repeatable, supportable, and field‑ready.
Act as the product interface between NetApp storage platforms (ONTAP‑based systems, E‑Series, StorageGRID) and external partner ecosystems.
Platform & Ecosystem Definition
Drive platform and system architecture decisions, including storage platforms, interconnects, and system‑level tradeoffs, in close partnership with architecture and engineering.
Define end‑to‑end AI infrastructure solutions, combining multiple storage platforms, data services, lifecycle management, and operational integration—not just standalone components.
Evaluate and define fulfillment and delivery models, including:
Meet‑in‑the‑channel offerings
OEM‑ and ODM‑based solutions
Integrated and validated system offerings
Customer, Market & Business Requirements
Gather and synthesize requirements from Neocloud providers and large enterprise customers, addressing performance, scale, multi‑tenancy, and operational simplicity.
Translate customer needs into clear product requirements, differentiated value propositions, and business cases.
Partner with GTM, sales, and field teams to ensure offerings are consumable, supportable, and aligned with real‑world deployment models.
Monetization & Business Models
Define monetization strategies for AIDI offerings, including software licensing, subscriptions, consumption‑based models, and bundled platform offerings.
Partner with finance and GTM teams to assess revenue impact, pricing, margin, and cost structure across solution types.
Cross‑Functional Leadership
Serve as the single point of accountability across architecture, engineering, sales, marketing, alliances, and operations for AIDI.
Communicate strategy, architectural tradeoffs, and roadmap clearly to executive leadership and field organizations.
Influence long‑term platform decisions that impact multiple product lines and business units.
