AI Analyst

We are seeking a detail-obsessed data-driven expert to serve as theguardian of accuracy and operational team leadfor our Sales & Finance AI chat assistants. This role combineshands-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 thebridge between Finance users executive stakeholders and technical development teams- translating business requirements into AI-enabled solutions ensuring Finance AI capabilities align with business goals andleading a small team of analyststo deliver on the programs mission. You will set the quality bar drive prioritization coordinate across cross-functional partners and represent the team in stakeholder forums.

Team Leadership

• Lead and coordinatewith analysts - set priorities review deliverables mentor team members and drive the operating rhythm
• Drive the teams operating rhythm- standups sprint planning retrospectives and weekly status reporting
• Serve asprimary point of contactfor PMO IT and Finance stakeholders on delivery matters
• Makeprioritization and trade-off decisionsacross enhancements bugs testing and adoption

Requirements & Quality Assurance

• Gather business requirements; write clear user stories;translate Finance needs into AI solution specsreferencing 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 validatehigh-risk and executive-facing outputs
• Coordinate business sign-off before production releases

Hallucination Prevention & Incident Response

• 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 validationof executive-focused use cases; ensure outputs meet C-suite precision and tone standards
• Own data validation framework; ensuremetric consistencyagainst official Finance reporting
• Support audit compliance andAI governancerequirements - 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

• Bachelors degree required
• 7 yearsin Business Analysis Finance Analytics or FP&A Operations
• 2 yearsteam lead or coordination experience
• Advanced SQL
• 2-3 years of Experience withAI-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