AI Analyst
netapp
Job Description
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
Adoption & Operations
- 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
Required Qualifications
- 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
Technical Skills Required
- 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
Preferred Qualifications
- Experience with Abacus, RAG architectures, or AI governance frameworks
- Background in Finance AI transformation or digital initiatives