AI Analyst

Job Summary

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 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 coordinatewith 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 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 storiestranslate 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 testingpersonally 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

Core Responsibilities

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

Required Qualifications

• Bachelor's 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

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