IBM – Group Manager – PTP Transformation SME IBM

The Corporate Institute; Bengaluru, Chennai, New Delhi; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

The Corporate Institute is seeking a seasoned Group Manager to lead PTP transformation initiatives across AP processes, AI-enabled automation, and governance. Based in Bengaluru with project opportunities across Bangalore, Chennai, and NCR to meet business needs.

You will architect AI-enabled operating models, oversee vendor selections, drive cost efficiencies, and mentor a high-performing team while collaborating with global finance leaders to deliver scalable, compliant P2P improvements.

Qualifications

• Deep expertise in P2P/AP processes across finance shared services.

Responsibilities

• Develop AI-enabled AP transformation roadmaps and target operating models.
• Identify and prioritize AI use cases across invoice processing, exception management, and payment optimization.
• Lead end-to-end AI deployment across the P2P stack including Generative AI and agentic workflows.
• Govern AI model performance and risk, ensuring compliant production environments.
• Collaborate with ERP vendors and global finance teams for standardisation and governance.
• Establish KPIs for AP performance including AI impact metrics.
• Drive POC-to-production scaling of AI solutions and value propositions for clients.
• Mentor a high-performing transformation team and drive change management.

Skills

P2P / AP processes

Finance transformation

AI-enabled automation

Stakeholder management

Strategic leadership

Education

MBA

CA/CPA

Tools

SAP S/4HANA

Oracle

Workday

Hypatos

Kofax

EskER

Microsoft Copilot Studio

Power Automate

IBM watsonx

Copilot/Claude

Job description

Group Manager – PTP Transformation SME

Location:

Bangalore / Chennai / NCR

Experience:

12+ Years of relevant experience

Industry:

Finance / Consulting / Shared Services

Employment Type:

Full-Time

We are seeking a seasoned Finance Transformation Leader specialising in Procure to Pay (P2P) / Accounts Payable (AP) to spearhead process optimisation, AI-enabled automation, and strategic efficiency initiatives. This role requires a blend of value enablement and execution, stakeholder engagement, and transformation leadership to drive AI-powered financial improvements while ensuring seamless business continuity. The ideal candidate will bridge deep P2P domain expertise with hands‑on capability in deploying Generative AI, Agentic AI, and intelligent automation solutions across the AP value chain.

Key Responsibilities:

Strategic Finance & AI Transformation:

– Develop and execute a roadmap for AP process transformation integrating AI, automation, and analytics at each stage of the P2P lifecycle.

– Identify and prioritise AI use cases across invoice processing, exception management, vendor master governance, and payment optimisation.

– Design Target Operating Models that embed AI Agents, co‑pilots, and intelligent workflows as standard delivery components.

– Champion Lean, Six Sigma, and AI‑augmented methodologies to drive operational excellence in AP processes.

– Support new solution development via sole source, RFP, and renewal activities, including AI‑differentiated value propositions.

AI & Technology Leadership in P2P:

– Oversee end‑to‑end AI deployment across the P2P stack, including Generative AI invoice extraction, AI‑driven exception triage, and predictive payment analytics.

– Lead implementation of Agentic AI workflows (e.g., Microsoft Copilot Studio, IBM watsonx) to automate recurring AP tasks such as intercompany billing, PO matching, and payment runs.

– Evaluate and implement AP automation tools, including RPA, AI-native platforms (Hypatos, Kofax, Esker), and S/4HANA intelligent automation capabilities.

– Govern AI model performance, hallucination risk, and exception escalation paths in production AP environments.

– Drive POC‑to‑production scaling of AI solutions, including Smart Billing AI Assistants and Vendor Master AI cleansing tools.

– Assess and bring forward differentiated AI solutions that strengthen IBM’s market position in F&A BPO.

Stakeholder & Vendor Management:

– Cultivate strong relationships with senior finance leaders, CPOs, and external partners to align AP transformation and AI adoption goals.

– Collaborate with global finance teams to ensure standardisation, compliance, and AI governance across international payment regulations.

– Lead negotiations with ERP vendors, AI platform providers, and financial institutions to deliver cost‑effective, future‑ready payment solutions.

Operational Excellence & Compliance:

– Establish and maintain KPIs for AP performance inclusive of AI impact metrics: touchless invoice rate, AI exception resolution rate, straight‑through processing (STP) %, and cost‑per‑invoice.

– Ensure adherence to financial governance policies, regulatory frameworks (GST, e‑invoicing mandates, Peppol), and AI ethics standards.

– Conduct periodic audits to assess fraud risks, AP controls, and AI model integrity.

– Create sub‑offerings to add incremental AI‑enabled value to client engagements.

Consulting & Change Management:

– Drive AP process improvement initiatives leveraging AI diagnostics, process mining, and intelligent benchmarking.

– Develop a structured change management approach covering AI adoption readiness, workforce reskilling, and digital trust building.

– Conduct training and upskilling sessions on AI‑augmented AP tools, Copilot/Claude usage, and Prompt Engineering for finance teams.

Leadership & Communication:

– Lead a high‑performing finance transformation team, mentoring professionals in AP strategy and AI‑enabled delivery.

– Present AP transformation insights, AI business cases, and financial impact reports to senior leadership and board members.

– Foster a culture of continuous innovation, AI experimentation, cost efficiency, and accountability in finance operations.

AI Skills & Competency Framework – P2P:

– AI Skill Domain: Generative AI for AP (Prompt engineering for invoice extraction and exception resolution; experience with LLM‑based AP copilots (Microsoft Copilot, Claude, GPT‑4))

– AI Skill Domain: Agentic AI & Automation (Design and govern AI Agents for end‑to‑end AP tasks; familiarity with Microsoft Copilot Studio, Power Automate, Claude)

– AI Skill Domain: Intelligent Document Processing (AI‑OCR, IDP platforms (Opentext, ABBYY, Kofax); structured/unstructured invoice data extraction)

– AI Skill Domain: AI‑Augmented Analytics (Predictive payment analytics, supplier risk scoring, anomaly detection; Power BI / Tableau with AI overlays)

– AI Skill Domain: Process Mining & AI Diagnostics (Celonis, SAP Signavio, or equivalent for AI‑driven P2P bottleneck identification and remediation)

– AI Skill Domain: AI‑Governance & Responsible AI (Model risk management, AI audit trails, hallucination controls, GDPR/data privacy in AI‑enabled AP workflows)

– AI Skill Domain: ERP‑Native AI Capabilities (SAP S/4HANA Intelligent Invoice Management, SAP Cash Application, Oracle AI for Payables, Workday AI features)

– AI Skill Domain: AI Change Management (Workforce reskilling strategies for AI adoption; AI literacy programme design for AP/P2P teams)

Key Skills & Qualifications:

– Deep expertise in P2P / AP processes, procurement finance, and shared services environments.

– Consulting experience in finance transformation, AI‑enabled automation, and process reengineering.

– Proven ability to engage and influence senior stakeholders in finance, operations, and procurement.

– Hands‑on experience with ERP systems (SAP S/4HANA, Oracle, Workday) and AI‑native AP automation platforms.

– Ability to architect AI solutions from POC through to scaled production deployment in BPO environments.

– Strategic mindset with the ability to quantify and communicate AI‑driven cost efficiencies and STP gains.

– Exceptional communication skills – able to translate AI strategies into actionable finance insights for C‑suite audiences.

Preferred Qualifications:

– MBA, CA, or CPA qualification will be an advantage.

– Certification in Lean Six Sigma, AI for Finance, Microsoft Copilot Studio, or IBM watsonx.

– Experience in global finance transformation and shared service centre environments.

– Familiarity with e‑invoicing regulatory mandates (India GST, EU Peppol, ZATCA) and their AI compliance implications.