AI Analyst
NetApp
At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.
Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.
Job Summary
We are seeking a detail-obsessed, data-driven expert to serve as the guardian of accuracy and operational team lead for our Sales & Finance AI chat assistants. This role combines hands-on technical rigor with team leadership - you will design validation frameworks, partner with data engineering teams, and ensure every metric the AI surfaces - especially Bookings and Revenue - is accurate, consistent, and trustworthy. You will lead incident response on any data accuracy or hallucination event.
Beyond quality, this role serves as the bridge between Finance users, executive stakeholders, and technical development teams - translating business requirements into AI-enabled solutions, ensuring Finance AI capabilities align with business goals, and leading a small team of analysts to deliver on the program's mission. You will set the quality bar, drive prioritization, coordinate across cross-functional partners, and represent the team in stakeholder forums.
Core Responsibilities
Team Leadership
- Lead and coordinate with analysts - set priorities, review deliverables, mentor team members, and drive the operating rhythm
- Drive the team's operating rhythm - standups, sprint planning, retrospectives, and weekly status reporting
- Serve as primary point of contact for PMO, IT, and Finance stakeholders on delivery matters
- Make prioritization and trade-off decisions across enhancements, bugs, testing, and adoption
- Gather business requirements; write clear user stories; translate Finance needs into AI solution specs referencing Snowflake tables and business logic
- Own the AI quality framework - test strategies, pass/fail criteria, and quality standards for AI-generated responses
- Oversee UAT, regression, and release testing; personally validate high-risk and executive-facing outputs
- Coordinate business sign-off before production releases
- Own the hallucination prevention strategy - validation plans, monitoring protocols, and escalation procedures
- Lead incident response - rapid root cause analysis across source data, pipeline, Snowflake, and AI layers; document post-mortems with preventive measures
- Catalog high-risk use cases and maintain continuous quality monitoring
Executive Use Cases & Data Governance
- Lead design and validation of executive-focused use cases; ensure outputs meet C-suite precision and tone standards
- Own data validation framework; ensure metric consistency against official Finance reporting
- Support audit, compliance, and AI governance requirements - maintain explainability and traceability
- Drive adoption strategy - oversee onboarding, training, communications, and user feedback synthesis
- Lead bug triage and coordinate resolution with IT/Engineering; manage release rollouts and hypercare
- Bachelor's degree required
- 7+ years in Business Analysis, Finance Analytics, or FP&A Operations
- 2+ years team lead or coordination experience
- Advanced SQL
- 2-3 years of Experience with AI-powered tools or conversational AI; strong understanding of LLM fundamentals and hallucination risks
- Prompt Engineering certification or equivalent experience
- Understanding of Finance metrics (Bookings, Revenue, or related)
- Strong stakeholder management - comfortable engaging with Directors and above
- SQL / Snowflake: Advanced - complex queries, data lineage tracing, validation scripting
- AI/LLM Concepts: Strong - RAG, prompt engineering, hallucination patterns, data grounding
- Data Modelling: Strong - ERDs, star schemas, pipeline architectures
- Abacus (or similar) – working knowledge
- Familiarity with Agile/Scrum & BI Tools
- Experience with Abacus, RAG architectures, or AI governance frameworks
- Background in Finance AI transformation or digital initiatives
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.