Job Overview
Manage end-to-end distribution-related processes for SAPAC, including supplier evaluations, ESG (Environmental, Social and Governance) assessments, and preparation of distributor scorecards. This role is responsible for ensuring compliance with SOPs related to distribution management.

Job Responsibilities and Essential Duties
End-to-End Responsibility for the DA Process: Responsible for managing the DA process across SAPAC
Initiate Due Diligence (DD) requests through ICERTIS or any other applicable platform from time to time
Coordinate with the sales team and potential distributors to complete the DD process
Finalize annexures with input from the sales team, including product, pricing, territory, and targets
Manage the onboarding process, including completion of distributor agreements
Ensure completion of Ethics & Compliance (E&C;) and other mandatory training programs by distributors as required from time to time
Review and update supplier scorecards for all SSUs with input from the respective SSU Sales teams
Ensure compliance with all distributor-related SOPs




Distribute SAQs via OneTrust (ESG)
Review and analyze SAQ responses (ESG)
Support other distribution management and ESG audit activities as needed
To ensure requirements of the following GS QMS procedures are implemented and maintained:
SSU-SOP-1904 Distributor Management
SSU-SOP-01206 Supplier Audits
SSU-SOP-01204 Supplier Controls
SSU-SOP-0210 Product training Certification
SSU-SOP-01007-EN Document and Record Control

Minimum Requirements
Excellent interpersonal, verbal, and written communication skills
Proficient in Microsoft Office applications
3–5 years of experience in DD processes and third-party audit operations
Certified ISO 13485 and ISO 9001 Internal Quality Auditor

Required Knowledge, Skills and Abilities
Ability to efficiently manage multiple tasks and activities
Must possess robust organizational skills
Ability to work within established deadlines and perform effectively under pre

📌 ESG Executive (Mumbai)
🏢 Getinge
📍 Mumbai