P2P Manager- Process SME Lead

Job description

Dear candidates,

we are hiring for our MNC tier -1 C0mpany for the position of P2P Manager

Please find the details below

Hiring Mode: Fulltime

Role: P2P Manager

Exp: 12+ years

Locations: Anywhere in India

notice: Immediate -30 days

Interested Candidates Can share your cv to [email removed]

PFB the JD

Kindly help to understand the JD

Tower: Procure-to-Pay (P2P)

Reporting to: P2P Tower Lead / Process Design Lead

Key Interfaces: Agent Curator, Scrum Master, Process Design Lead, Business Impact Lead, bp Enterprise Architecture, ERP Teams, Ariba Teams, Master Data Teams, Integration Teams

Role Purpose

The P2P Technology SME is the principal business technology expert for the Procure-to-Pay tower.

The role is responsible for understanding, governing and optimizing the interaction between business processes and the broader application landscape supporting P2P operations.

The role does not act as an AI specialist or software developer.

Instead, the role ensures that:

• processes are technically executable;
• system interactions are understood;
• data dependencies are managed;
• technical bottlenecks are identified;
• future-state solutions are practical and scalable.

The Technology SME serves as the architectural translator between:

• Business Operations
• Process Design
• AI Teams
• ERP Teams
• Application Support Teams
• Integration Teams

Key Responsibilities

1. End-to-End P2P Systems Architecture Ownership

Maintain a detailed understanding of the P2P application landscape including:

• SAP ERP
• SAP S/4
• Ariba
• SRM
• Guided Buying
• Supplier Portals
• Vendor Master systems
• Workflow platforms
• VIM
• Treasury interfaces
• Reporting environments
• Integration platforms

Own the end-to-end process and data flow map across the P2P ecosystem.

2. Business Process Technology Design

Partner with Process Design Leads to ensure process changes remain technically feasible.

Examples include:

• PR workflow redesign
• PO governance improvements
• Invoice automation
• Supplier onboarding enhancements
• Payment-term governance
• Goods receipt management
• SES management

Evaluate impacts before implementation.

3. Data Dependency Management

Own technical understanding of critical P2P data elements including:

Procurement Data

• Contracts
• Price books
• Catalogues
• Supplier records

Transaction Data

• PRs
• POs
• SESs
• GRs
• Invoices
• Payments

Master Data

• Vendor master
• Banking information
• Payment terms
• Tax information
• Accounting assignments

Identify:

• data quality issues
• missing attributes
• integration gaps
• process impacts

4. Payment Terms Governance

Act as subject matter expert for system-driven payment-term management.

Responsibilities include:

• Understanding term hierarchies
• Contract versus master-data precedence
• Supplier-specific term exceptions
• Payment-term harmonisation opportunities
• Working-capital implications

Support Operations and Process Design teams in identifying inconsistencies and opportunities.

5. Technology Impact Assessment

Evaluate proposed changes for:

• technical feasibility
• architecture impact
• integration impact
• data impacts
• controls impacts

Provide recommendations on:

• system changes
• process alternatives
• implementation risks
• sequencing requirements

6. Application Dependency Governance

Maintain the dependency model across:

ERP Environment

• SAP modules
• Financial posting environments
• Approval workflows

Procurement Platforms

• Ariba Buying
• Supplier Network
• Contract systems

Supporting Systems

• Vendor Master systems
• Service Management tools
• Reporting platforms

Identify and proactively manage dependencies that impact service performance.

7. Agent Readiness & Technology Enablement

Support the Agent Curator and AI teams by validating:

• source data availability
• data quality
• system access
• workflow triggers
• integration points

Assess whether proposed agents have sufficient:

• process data
• master data
• operational context

to function effectively.

The role does not build agents but ensures the ecosystem supports them.

8. Technical Root Cause Analysis

Lead investigation of technology-related process issues including:

• failed integrations
• workflow bottlenecks
• data quality issues
• payment exceptions
• invoice processing failures
• supplier setup problems

Focus on permanent resolution rather than manual workarounds.

9. Future-State Architecture Planning

Support the evolution of the Iris operating model.

Evaluate opportunities including:

• system rationalisation
• automation enablement
• data standardisation
• workflow simplification
• supplier experience improvements

Recommend future-state architecture improvements in line with bp strategy.

Key Deliverables

The Technology SME will own:

• P2P Systems Architecture Map
• Application Dependency Register
• P2P Data Model
• Critical Data Dependency Catalogue
• P2P Integration Inventory
• Process/System Interaction Maps
• Technical Risk Register
• Architecture Impact Assessments
• Agent Readiness Assessments
• Future-State Technology Roadmaps

Critical Success Measures

Success will be measured through:

Stability

• Reduction in technology-related process failures
• Reduction in integration issues
• Reduced operational disruption

Process Enablement

• Successful process implementation
• Faster issue resolution
• Improved system utilisation

Data Quality

• Improved master-data quality
• Reduced data-related exceptions
• Better information availability

Architecture Governance

• Accurate dependency management
• Reduced technical debt
• Improved technology transparency

Transformation Enablement

• Agent readiness improvement
• Automation enablement
• Increased system simplification

Required Experience

Essential

• 712 years experience in:
• SAP ERP
• Procurement systems
• Business process architecture
• Shared Services environments
• Deep understanding of:
• Procure-to-Pay
• Vendor Master Data
• SAP P2P processes
• Purchasing workflows
• Invoice processing
• Payments
• Experience in:
• Integration design
• Data modelling
• Process architecture

Preferred

• SAP Ariba
• SAP SRM
• SAP MDG
• VIM
• Process Mining
• Shared Services / GBS environments
• Energy, Manufacturing or Industrial sector experience

Behavioural Profile

The successful candidate will be:

• Technically curious
• Process-oriented
• Analytical
• Detail-focused
• Collaborative
• Strong problem solver

Most importantly:

Able to understand both the business process and the system landscape that enables it