Product Manager — AP Invoice Management

Nasscomm is partnering with Deloitte to build next-generation AI products, specifically focusing on AP Invoice Management. The Product Manager will oversee the development and integration of an AI-driven digital worker that manages the entire AP lifecycle, collaborating closely with engineering and finance experts to ensure effective outcomes.

Responsibilities:

• Own the roadmap, requirements, and release plan for the AP Invoice Management digital worker, balancing client demand, engineering capacity, and platform strategy
• Define and prioritize capabilities across the AP lifecycle: invoice capture and data extraction, 2-way and 3-way match (PO, GR, invoice), exception resolution, GL coding and approval routing, tax determination, payment scheduling, and reconciliation
• Translate complex AP, tax, and ERP requirements into clear product specs, user stories, and acceptance criteria that engineering and AI/ML teams can build against
• Partner with Deloitte's finance, tax, and ERP subject matter experts to encode domain logic — US sales and use tax, 1099 workflows, withholding, jurisdictional rules — into the agent's reasoning and decision flow
• Drive integration design with SAP (ECC, S/4HANA) and Oracle (EBS, Fusion Cloud ERP) AP modules, including data models, APIs, and reconciliation back to the system of record
• Work closely with pilot clients: shape use cases, run feedback loops, instrument the agent's behavior, measure accuracy and cycle-time improvements, and iterate
• Define what 'good' looks like for the agent — extraction accuracy, exception rates, straight-through processing rates, time-to-pay, match rates — and report against them
• Collaborate with Trustworthy AI, risk, and compliance teams to ensure the agent meets audit, controls, and explainability requirements expected in finance functions
• Maintain a current view of the competitive landscape (other agentic AP solutions, ERP-native AI, point tools) and inform positioning and differentiation

Requirements:

• 3+ years of combined experience across product management, AP/finance operations, ERP implementation, or finance consulting — with at least some time owning or shaping a product, module, or workstream end-to-end
• Working knowledge of the AP invoice-to-pay lifecycle: invoice processing, supplier master, PO and non-PO invoice handling, 2-way/3-way match, GR/IR, exception handling, payment runs, and reconciliation
• Practical understanding of US tax rules relevant to AP — sales and use tax, 1099 reporting, withholding logic, and how tax is determined, accrued, and posted in an ERP
• Hands-on familiarity with AP processing in SAP (FI/MM, VIM, or S/4HANA equivalents) and/or Oracle (Payables in EBS or Fusion Cloud), with credible understanding of the other
• Comfort translating domain rules into structured logic — flowcharts, decision tables, agent prompts, or behavioral specifications
• Strong written and verbal communication; able to move comfortably between a finance controller, a tax SME, an ML engineer, and a client executive
• Bachelor's degree, or equivalent practical experience
• Exposure to non-US indirect tax — VAT, GST, reverse charge mechanisms, and e-invoicing mandates (e.g., Peppol, SAF-T, India IRP, LATAM e-invoicing) — in a product or implementation context
• Experience with AP automation, OCR/IDP, or invoice-matching platforms (e.g., SAP VIM / OpenText, Oracle Intelligent Document Recognition, Tipalti, AvidXchange, Coupa, Stampli, Esker)
• Experience working with AI/ML or LLM-based products — particularly agentic systems, retrieval-augmented generation, or document understanding pipelines
• Familiarity with Trustworthy AI principles — explainability, auditability, human-in-the-loop design — applied in regulated finance workflows
• Experience working in or with a consulting environment and engaging directly with enterprise clients
• Tax, ERP (SAP, Oracle), or finance credentials (e.g., CPA, CMA) are a plus, not required