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Tier-1 employer and Bangalore location increase candidate density despite niche AI+finance seniority.
Heavy finance-domain requirements plus AI governance make skills less transferable across industries.
Requires 8+ years, deep finance domain expertise, hands-on AI, and governance experience.
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Lead AI-driven transformation in Finance by identifying and scaling high-value AI and automation use cases with measurable impact on productivity, controls, and decision-making.
Serve as strategy and adoption lead for the AI Factory for Finance, bridging Finance, Data & Analytics (DnA), and IT to implement AI-enabled finance solutions with governance and operational controls.
Build and manage the operating cadence for AI delivery including business cases, prioritization, milestones, adoption metrics, and benefits realization, while influencing cross-functional stakeholders.
8+ years of experience in finance transformation, accounting, finance operations, consulting, business systems, or analytics-related roles.
Strong finance domain knowledge including close, general ledger, revenue recognition, Quote-to-Cash/Order-to-Cash, Record-to-Report, controls, and finance operations.
Hands-on experience with AI and automation technologies in finance, including building prototypes and deploying AI/ML or intelligent automation solutions.
Must be able to work from the Bangalore office in compliance with company onsite policies.
Experienced in cross-functional transformation leadership through influence across finance, DnA, and IT to deliver measurable AI-enabled process improvements.
Deeply familiar with finance data platforms (ERP, CRM, CPQ, billing, reconciliation, cloud data platforms) and able to define data, control, and system requirements for AI solutions.
Strong judgment around responsible AI including governance, controls, auditability, SOX compliance, and risk mitigation within financially material workflows.