- Location
- Chennai - NMIPL, India
- Type
- Full-time
- Seniority
- Manager
- Experience
- 5+ years
- Closing date
- Today
- Source
- Workday
Description
Job Title:
EVP 7
Date:
18-03-2026
Name:
Written by:
Birupakshya Panigrahi
Reports to:
EVP6
Approved by:
Bell Leanne
(Jobholder)
Division/Dept:
AMIEO TCS
Approved by:
Bell Leanne
(Immediate Superior)
Reference No:
Approved by:
Kharchenko, Pavel
(Next level Superior)
1. JOB PURPOSE
Summarise in one statement why this job exists; and how it contributes to the overall mission/objective of the organisation.
To ensure Adherence of Nissan Warranty policy and procedure at NCS, RBU and Dealers. This job contributes towards TCS 2nd line of Defence in Warranty
Reclaim warranty expense from suppliers-based liability ratio, by collecting concern parts from market and reviewing supplier submitted 8D warranty parts analysis reports (WPAR) according to Nissan standard report requirements.
2. ORGANISATIONALCHART
(Only Job Titles)
AMIEO TCS
EVP 4
EVP 5
EVP 6
EVP 7
3. PRINCIPLE ACCOUNTABILITIES
List the expected end results that must be achieved in order to fulfil your job purpose and the activities that help in achieving these results.
EXPECTED END RESULTS
MAJOR ACTIVITIES
Adherence of Nissan Warranty policy and procedure
Dealer claims analysis, validation, and Processing (Warranty, RSA, LRSA, EV Battery claims) Support Dealer/vendor query on Warranty system, policy, and Procedure Content Management System (CMS) & Support Line Tool Specialist Market Governance Top "X” Co-ordination Claim Mask Creation
EXPECTED END RESULTS
MAJOR ACTIVITIES
Approved/rejected 8D warranty parts analysis reports
Claim Analysis & Supplier Chargeback Reporting
Improve supplier chargeback recovery ratio
- Review supplier submitted 8D warranty parts analysis reports (WPAR) according to Nissan standard report requirement.
- Approve or reject report based on content of 8D WPAR vs Nissan standard
- Provide detailed response to supplier if report is to be rejected
- Data analysis of all warranty claims to understand recharge per vehicle/supplier/PFP
- Data analysis of top value contributing PFP to seek opportunities to increase SCB identifying target items
- Study countermeasure details & history
- Benchmark best practices from NSC globally
- Reporting of warranty SCB KPI on monthly basis to management
4. MAJOR CHALLENGES
Describe the major challenges you face in carrying out your job, and what you do in order to overcome them.
- Deep data analysis and standardisation of supplier warranty claim data
- High dependency on excels sheets for analysis.
- Multiple systems knowledge and understanding
5. KEY INTERACTIONS
Who (internal/external) does this position interact with on a regular basis to perform this role? How often and for what purpose?
Internal
External
- AMIEO TCS
- NML CC0
- NMIPL
- ISIT team
- NSC, RBU, Dealers
- External Auditor
6. DIMENSIONS
List the data which will reflect the scope and scale of activities concerning your job.
(These should be quantifiable numerical amounts)
[DRAFT] KPIs:
- Claim Analysis
- WPAR response time
- WPAR coding application
- Chargeback Ratio & Amount Recovery
- Query & claim validation: approved / returned / rejected within 48 business hours
- Maintain % of validation rules at HQ and RBU level to ensure normal business operation
- NSC communication: content management system message to be validated and raised within fixed time following identification of issue
- High cost warranty claim items to be analysed and escalated monthly with proposed countermeasure (e.g. pre-authorisation rule, bulletin etc)
- Regular reports to be issued within <1 working day from agreed deadline
- 95% warranty claim allocation to responsible manufacturer/supplier within 24 hours
7. SKILLS AND KNOWLEDGE
State the minimum acceptable proficiency for this job. Do not state incumbent-specific information.
EDUCATIONAL QUALIFICATIONS
Diploma / BE - Mechanical, Automobile, or equivalent with 5-6 years of experience
RELEVANT EXPERIENCE
Hands on experience (+4 Yrs) supplier recovery
Hands on experience in Parts Quality Assurance in OEM or Supplier
Sound experience on Data Analytics and solution generation
Must have advanced level skill on Microsoft Office – Excel, word, PowerPoint,
Should have good understanding on dealer/vendor warranty process
PERSONAL CHARACTERISTICS & BEHAVIOURS
Good communication skill
Good know how of Microsoft office to prepare management presentations.
Good interpersonal skills for interaction with various stake holders
Good logical thinking
8. APPROVAL
Date
Comments
Date
Job Holder
Immediate Superior
Next Level Senior
This document is the property of Renault Nissan and the information contained herein is confidential
Glossary
Divisions
NMIPL: Nissan Motor India Pvt Ltd RIPL: Renault India Pvt Ltd RNAIPL: Renault- Nissan Automotive India Pvt Ltd RNTBCI: Renault- Nissan Technologies and Business Centre India NML: Nissan Motor Co. Ltd, Japan
Designations
DMD: Deputy Managing Director CMD: Chief Managing Director SVP: Senior Vice President VP: Vice President HOD: Head of Department Deputy HOD: Deputy Head of Department GM: General Manager DGM: Deputy General Manager AM: Assistant Manager
Departments
MDs Office/ MDO: Managing Directors Office TCS: Total Customer Satisfaction PP& PMO: Product Planning and Program Management Office PE: Production Engineering IE: Industrial Engineering PCSCM: Production Control and Supply Chain Management PCC: Parts Consolidation Centre PWT PE: Power Train Plant Production Engineering IMS: Integrated Management System R&A: Reporting and Accounting BSC: Business Scheme Change TQM: Total Quality Management QA: Quality Assurance
- VQA: Vehicle Quality Assurance
- IHQA: In- House Quality Assurance
- FQI: Field Quality Improvement
- FQA: Field Quality Assurance
Terms
GK: Genba Kanri (Shop Floor Management) RTC: Regional Training Centre WTR: Warranty Turnover Ratio APW: Alliance Production Way OEE: Overall Equipment Efficiency QRQC: Quick Response Quality Control SOP: Start of Production CBU: Complete Built Units Kaizen Methodology: Continuous Improvement Activities
Chennai India