AI Analyst (Bangalore, Karnataka, IN)

<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Job Summary</H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif">We are seeking a detail-obsessed, data-driven expert to serve as the guardian of accuracy and operational team lead for our Sales &amp; 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.</span></p> <p><span style="font-family:arial, helvetica, sans-serif">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.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Core Responsibilities</H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif"><strong>Team Leadership</strong></span></p> <ul> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Lead and coordinate with analysts - set priorities, review deliverables, mentor team members, and drive the operating rhythm</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Drive the team's operating rhythm - standups, sprint planning, retrospectives, and weekly status reporting</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Serve as primary point of contact for PMO, IT, and Finance stakeholders on delivery matters</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Make prioritization and trade-off decisions across enhancements, bugs, testing, and adoption</span></li> </ul> <p><span style="font-family:arial, helvetica, sans-serif"><strong>Requirements &amp; Quality Assurance</strong></span></p> <ul> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Gather business requirements; write clear user stories; translate Finance needs into AI solution specs referencing Snowflake tables and business logic</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Own the AI quality framework - test strategies, pass/fail criteria, and quality standards for AI-generated responses</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Oversee UAT, regression, and release testing; personally validate high-risk and executive-facing outputs</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Coordinate business sign-off before production releases</span></li> </ul> <p><span style="font-family:arial, helvetica, sans-serif"><strong>Hallucination Prevention &amp; Incident Response</strong></span></p> <ul> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Own the hallucination prevention strategy - validation plans, monitoring protocols, and escalation procedures</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Lead incident response - rapid root cause analysis across source data, pipeline, Snowflake, and AI layers; document post-mortems with preventive measures</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Catalog high-risk use cases and maintain continuous quality monitoring</span></li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Core Responsibilities</H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif"><strong>Executive Use Cases &amp; Data Governance</strong></span></p> <ul> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Lead design and validation of executive-focused use cases; ensure outputs meet C-suite precision and tone standards</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Own data validation framework; ensure metric consistency against official Finance reporting</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Support audit, compliance, and AI governance requirements - maintain explainability and traceability</span></li> </ul> <p><span style="font-family:arial, helvetica, sans-serif"><strong>Adoption &amp; Operations</strong></span></p> <ul> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Drive adoption strategy - oversee onboarding, training, communications, and user feedback synthesis</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Lead bug triage and coordinate resolution with IT/Engineering; manage release rollouts and hypercare</span></li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Required Qualifications</H2> </div><div><ul> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Bachelor's degree required</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">7+ years in Business Analysis, Finance Analytics, or FP&amp;A Operations</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">2+ years team lead or coordination experience</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Advanced SQL</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">2-3 years of Experience with AI-powered tools or conversational AI; strong understanding of LLM fundamentals and hallucination risks</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Prompt Engineering certification or equivalent experience</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Understanding of Finance metrics (Bookings, Revenue, or related)</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Strong stakeholder management - comfortable engaging with Directors and above</span></li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Technical Skills Required</H2> </div><div><ul> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">SQL / Snowflake: Advanced - complex queries, data lineage tracing, validation scripting</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">AI/LLM Concepts: Strong - RAG, prompt engineering, hallucination patterns, data grounding</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Data Modelling: Strong - ERDs, star schemas, pipeline architectures</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Abacus (or similar) – working knowledge</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Familiarity with Agile/Scrum &amp; BI Tools</span></li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Preferred Qualifications</H2> </div><div><ul> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Experience with Abacus, RAG architectures, or AI governance frameworks</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Background in Finance AI transformation or digital initiatives</span></li> </ul></div></div></div>