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Sr. Project Manager 4D

Genpact
NewPosted today

LOCATION

Unitech · Hybrid

EXPERIENCE

Not specified

TYPE

FullTime

SKILLS REQUIRED

Project ManagementSystem integrationAgile MethodologiesRisk ManagementStakeholder Management

Job description

Overview

Senior Project Manager to own end-to-end delivery of Agentic AP Suite implementations for enterprise clients, covering solution design, integration, AI solution governance and go-live.

What you'll do

  • Own end-to-end delivery of Agentic AP Suite implementations across one or more enterprise clients, from discovery through hypercare, on time, within budget and to agreed quality standards.
  • Build and maintain the integrated delivery plan, RAID log, resource plan and financial forecast; track effort, burn and margin against the SOW and flag variances early.
  • Run the delivery cadence, including sprint planning and reviews, stand-ups, defect triage, release readiness and go/no-go reviews, and cutover planning with tested rollback options.
  • Manage scope and change formally, assessing every change request for commercial, technical and timeline impact and securing approvals before committing.
  • Lead cross-functional pods spanning solution architects, AI/ML and data engineers, AP process SMEs, integration and ERP consultants, QA, security and client teams, without direct line authority over matrixed and vendor resources.
  • Translate client AP process requirements into the Agentic AP Suite configuration, including agent scope and autonomy levels, human-in-the-loop checkpoints, straight-through-processing targets and exception routing rules.
  • Drive the accuracy and benefit case by baselining current-state AP metrics, defining acceptance thresholds and evidencing realised improvement at go-live and through hypercare.
  • Manage AI delivery realities, including extraction accuracy on messy invoice populations, prompt and model iteration, golden-dataset and regression testing, confidence thresholds and fallback-to-human paths, and set honest client expectations on autonomous decisions.
  • Partner with Responsible AI, InfoSec and Data Privacy to clear the solution through governance, covering data classification, PII handling, audit trail and explainability, agent action logging, segregation of duties, and SOX and internal-control impact.
  • Own delivery of the integration landscape connecting the suite to client systems of record (SAP ECC/S/4HANA, Oracle, Workday or equivalent ERPs) and P2P platforms (Coupa, SAP Ariba, Basware), covering vendor master, purchase orders, goods receipts, invoice posting, payment blocks, and GL and tax determination.
  • Govern interface design and build across APIs, middleware and iPaaS, IDoc/BAPI/OData, RPA hand-offs, SFTP batch and email/document intake, and ensure environments, connectivity and credentials are secured ahead of build.
  • Drive master data and data-quality readiness, including vendor and tax master hygiene, tolerance and approval matrices, chart-of-accounts and cost-object mapping, and historical data for model training and validation.
  • Chair technical design reviews, hold architectural decisions to a documented, testable baseline, and escalate design debt rather than absorbing it silently.
  • Run governance forums with evidence-based reporting on status, milestones, benefit tracking, risks with named owners and decisions required, escalating with a recommendation.
  • Manage expectations across finance, operations, IT and audit stakeholders, and keep internal Genpact leadership, practice and account teams aligned.
  • Support pre-sales and account growth where required, including delivery input to proposals and estimates, solution demonstrations, implementation roadmaps and identification of expansion opportunities.
  • Implement quality control across the lifecycle, including requirements traceability, peer and design reviews, and a test strategy spanning functional, integration, accuracy/model, regression, security, performance and user acceptance testing.
  • Identify, quantify and actively work risks and issues, maintaining contingency for poor invoice image quality, unmapped exception scenarios, ERP release freezes and slow client decision making.
  • Own change and incident management in transition, including CAB submissions, release and deployment approvals, defect SLAs during hypercare, and a documented handover to run-state support and the client's AP operations team.
  • Drive adoption through role-based training, updated procedures and control documentation, super-user enablement and a communication plan addressing workforce impact of agentic automation.

What you'll need

  • Bachelor's or master's degree in Computer Science, Information Systems, Engineering, Finance, or a related field.
  • Relevant years of total experience, including relevant years managing enterprise technology or digital transformation programmes end to end as the accountable delivery lead.
  • Demonstrable experience delivering data, digital, automation or AI projects in a client-facing capacity, not solely internal IT delivery.
  • Working knowledge of the accounts payable and invoice-to-pay process, including invoice capture and intelligent document processing, PO and non-PO invoice handling, two- and three-way match, coding and approval workflow, exception and dispute management, supplier query handling, and payment run mechanics.
  • Hands-on delivery exposure to intelligent automation or AI-enabled solutions, including OCR/IDP, machine learning, and LLM- or agent-based automation, including how they are tested, tuned and governed in production.
  • Proven experience delivering ERP-integrated solutions, with practical familiarity with at least one major ERP (SAP ECC or S/4HANA, Oracle, Workday) and one P2P platform (Coupa, SAP Ariba, Basware, or similar), and with integration patterns including APIs, middleware/iPaaS and batch interfaces.
  • Proficiency in Agile, Scrum and Waterfall, and the judgement to run hybrid delivery where an agile build meets fixed client finance-calendar milestones.
  • Strong commercial and financial management, including SOW and scope governance, estimation, effort and margin tracking, and change-order discipline.
  • Excellent communication, leadership, negotiation and structured problem-solving skills, with the ability to raise difficult client conversations early.

Nice to have

  • Project management certification such as PMP, PRINCE2, PgMP, Certified Scrum Master or SAFe.
  • Prior delivery of AP automation, source-to-pay transformation, or finance shared-services and GBS technology programmes.
  • Understanding of AI governance and Responsible AI practice, including model risk, explainability, accuracy and bias monitoring, audit trails for agent actions, and emerging regulatory expectations for autonomous systems.
  • Familiarity with finance control and compliance requirements affecting AP, including SOX, segregation of duties, delegation of authority, indirect tax and e-invoicing mandates, and audit evidence needs.
  • Experience with project and delivery tooling such as Jira, Azure DevOps, MS Project, Smartsheet and Confluence, and comfort building executive-grade reporting from it.
  • Exposure to Lean, Six Sigma or process re-engineering methods applied to finance processes.
  • Experience in a consulting, BPO or systems-integrator environment, and willingness to travel to client sites as delivery phases require.

Details

  • Location: Noida, India (Unitech, Tower 8, SEZ Unit-II).
  • Work mode: Hybrid.
  • Job type: Regular.
  • Shift: Flex time (India).
  • Language: English, proficient (C2).

Read the full description and apply on the company’s own careers page.

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Sr. Project Manager 4D