And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events.
Key Responsibilities
The Data and Analytics (DnA) organization at Everpure is seeking a Senior Manager, Finance AI Transformation to help Finance run AI, automation, analytics, and data as a core operating strategy — not a side project. You'll be genuinely hands-on — using modern AI tools to build working prototypes yourself ("vibe coding") and prove what works. You'll be the business-facing strategy and adoption lead for DnA's AI Factory for Finance, our in-house capability for building, governing, and scaling AI-enabled Finance solutions.
Your Impact: You’ll turn trusted data and AI capabilities into measurable improvements in productivity, controls, and executive decision-making across the Office of the CFO. You’ll partner directly with leadership across Accounting, Revenue, Order Management, and GTM Finance to identify high-value AI opportunities, run focused pilots, and scale what works.
Finance functions remain accountable for their processes and outcomes; you’ll be the catalyst that brings DnA-led AI and automation capabilities to life — translating high-priority opportunities into implemented solutions with the right governance, controls, and adoption. You’ll lead through influence across Finance, DnA, and IT, with the opportunity to take on broader team leadership as the AI Factory scales.
Work closely with Finance functions to identify high-value AI and automation use cases, and redesign the underlying processes so they can be AI-enabled.
Prioritize opportunities, prove them through focused pilots, and scale what works — with clear business cases, measurable impact, and practical adoption plans.
Act as the bridge between Finance, DnA, and IT / Business Systems — translating finance requirements into delivery-ready process, data, control, and system requirements.
Help design trusted finance data products, semantic layers, workflows, and AI-enabled capabilities that reduce manual work and improve decision-making.
Build the operating cadence for transformation delivery, including intake, business cases, prioritization, milestones, risks, stakeholder updates, adoption metrics, and benefits realization.
Drive adoption of Finance AI capabilities through UAT, training, launch communications, standard work, operating routines, and feedback loops so new capabilities are trusted and used.
Define and track value realization for Finance AI initiatives — cycle-time reduction, manual-effort reduction, adoption, control improvements, quality gains, and stakeholder satisfaction.
We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
Requirements
You don’t need to check every box. The core is deep finance fluency, hands-on AI and automation experience, and the ability to lead transformation through influence — strength across several of the rest rounds out the profile.
Experience: 8+ years of experience in finance transformation, accounting, revenue / GTM finance, finance operations, consulting, business systems, data / analytics, or related roles.
Finance core literacy: Strong understanding of core finance and accounting processes, data structures, and workflows — including close, general ledger, revenue recognition, Quote-to-Cash / Order-to-Cash, Record-to-Report, controls, and related finance operations.
AI and automation track record: Demonstrated experience evaluating, piloting, or deploying one or more AI-enabled capabilities, such as GenAI, agentic AI workflows, AI / ML, predictive modeling, intelligent automation, analytics, or workflow solutions in Finance or an enterprise-adjacent function.
Hands-on with emerging AI: Personal, hands-on exposure to experimenting with and championing emerging AI technologies — GenAI tools, intelligent automation, and building workable prototypes yourself (including “vibe coding”) — staying current and bringing new capabilities to the team early.
Data, systems & platforms: Experience with the platforms that run accounting, revenue, and order-to-cash — ERP, CRM, CPQ / billing, close and reconciliation, cash application, external reporting, cloud data platforms, and BI — with the ability to define requirements for finance data products, semantic layers, dashboards, and AI-enabled solutions.
Responsible AI and controls: Strong judgment around responsible AI, data governance, access controls, auditability, model risk, privacy, bias mitigation, SOX considerations, and human-in-the-loop review for financially material workflows.
Transformation leadership: Experience leading cross-functional transformation through influence — aligning business owners, technical teams, control partners, and executives around a practical roadmap and measurable outcomes — while managing multiple complex initiatives under tight timelines.
Communication: Ability to translate complex processes, data, and technology work into crisp executive updates, business cases, tradeoff discussions, launch plans, and adoption metrics.
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