R2R Domain Lead – AI Agents (Project-Based Contract | 3–6 Months)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an R2R Domain Lead – AI Agents (Project-Based Contract | 3–6 Months) based in India (Remote).

As an R2R Domain Lead, you will bring deep accounting expertise to the development of next-generation AI-powered finance solutions. In this project-based role, you will help design, evaluate, and validate AI agents supporting critical Record-to-Report processes, including journal entries, accruals, reconciliations, intercompany accounting, and financial analysis. You will translate complex accounting workflows, policies, and internal controls into clear functional requirements that guide product development. Working closely with Product and Engineering teams, you will develop realistic test scenarios and ensure the accuracy, reliability, and practical value of AI-driven solutions. You will also collaborate with finance teams and customers to incorporate real-world requirements and continuously improve agent performance. This 3–6-month engagement offers an opportunity to combine senior finance expertise with emerging AI technologies and contribute to finance transformation.

Accountabilities:

As the R2R Domain Lead, you will serve as the subject matter expert responsible for translating real-world accounting operations into structured workflows and functional specifications for AI agents. You will collaborate with technical teams and finance stakeholders to validate solutions, identify process gaps, and ensure that AI-driven capabilities align with accounting standards, business policies, and operational requirements.

Document and map end-to-end Record-to-Report processes, including month-end close activities, exceptions, dependencies, and recurring operational challenges.

Create detailed user stories, process flows, and functional documentation based on practical accounting workflows.

Define functional requirements, business rules, and acceptance criteria for AI agents supporting key R2R activities.

Develop and execute comprehensive test scenarios to assess the accuracy, consistency, and reliability of AI agents.

Review testing results, identify functional gaps and inconsistencies, and collaborate with Engineering teams to resolve issues.

Design realistic test datasets reflecting actual accounting transactions, business scenarios, and operational exceptions.

Work closely with customers and finance teams to understand existing processes, gather requirements, and incorporate stakeholder feedback.

Translate accounting policies, approval hierarchies, thresholds, and internal controls into structured requirements that AI agents can interpret and follow.

Support the evaluation and continuous improvement of AI-powered finance workflows across journal entries, accruals, reconciliations, intercompany accounting, and flux analysis.

Ensure that developed solutions reflect applicable accounting practices, financial reporting requirements, and internal control frameworks.

Requirements:

The ideal candidate is an experienced Record-to-Report professional with a strong background in month-end close management, accounting operations, and financial controls. You should have hands-on experience managing accounting teams and overseeing complex financial processes, combined with the ability to translate domain expertise into clear documentation and functional requirements. Strong communication and analytical skills are essential, along with an interest in applying AI technologies to practical finance operations.

8+ years of professional experience in Record-to-Report (R2R) or related accounting functions.

At least 3 years of experience leading and managing month-end close activities.

Proven experience managing accounting teams and overseeing financial close processes, including reviews and final sign-offs.

Strong understanding of accounting processes, internal controls, financial reporting requirements, and compliance practices.

Experience with multi-entity and multi-currency accounting environments, including intercompany transactions.

Hands-on expertise in:

Journal entries and accruals.

Bank reconciliations and balance sheet reconciliations.

Intercompany accounting and transaction management.

Flux analysis and financial variance analysis.

Experience improving month-end close processes, implementing Standard Operating Procedures (SOPs), strengthening internal controls, or supporting finance transformation initiatives.

Professional qualification such as CA, CPA, ACCA, CMA, or an equivalent accounting certification.

Excellent written and verbal communication skills, with the ability to document complex accounting processes and translate them into clear functional requirements.

Strong analytical and problem-solving abilities, with attention to detail and a practical understanding of accounting exceptions and operational challenges.

Additional Qualifications (Preferred):

Experience working with Big Four accounting firms, internal audit functions, SOX controls, or finance transformation projects.

Working knowledge of ERP systems such as SAP.

Familiarity with financial close management platforms such as BlackLine, Trintech, FloQast, or HighRadius.

Knowledge of Ind AS, IFRS, or US GAAP, including India-specific GST and TDS requirements.

Advanced Excel skills; basic SQL knowledge is an advantage.

Previous exposure to AI testing, product evaluation, quality assurance, or technology-enabled finance solutions.

Interest in emerging AI applications and their potential to improve accounting workflows and financial operations.

Benefits:

Project-based contract engagement with an initial duration of 3–6 months.

Remote working arrangement, with Bangalore as the indicated work location.

Opportunity to contribute to an innovative AI-driven finance transformation initiative.

Direct collaboration with Product and Engineering teams to shape the development of AI-powered accounting solutions.

Opportunity to apply extensive R2R expertise to emerging technologies and practical AI applications.

Exposure to product development, AI agent evaluation, and the transformation of complex finance processes.