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MDM Lead

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Onsite

MDM Lead

DMart

MDM Lead

Skills

Data AnalysisSAP ERP

11 days ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Key Skills and Experience

  1. Demonstrable working experience in related data discipline

  2. Deep understanding of master data management, data

governance, and associated technologies

  1. Proven experience in establishing and operationalizing data

management capabilities

  1. Strong analytical & problem-solving skills with ability to

translate ideas into practical implementation

  1. Ability to manage stakeholder relationships including team

members, vendors and partners

  1. Excellent communication skills with ability to present and

communicate effectively with both technical and non-technical

audience

  1. Ability to manage multiple tasks, deadlines and resolution of

issues

Responsibilities

  1. Primary lead for managing master data records within SAP

  2. Ensure that all data entry takes place in required format, error

free and on time

  1. Responsible for Data Governance and work in conjunction with

data team to define protocols and standards for maintaining

data

  1. Establish and implement (master) data management

capabilities and best practices aligned with the business, Digital

Transformation and Data & Analytics goals and priorities

  1. Establish consistent metrics to measure quality of data and

implemented solutions

  1. Understand the technology landscape of transactional systems,

data management and master data layer, to analytics and

consuming applications

  1. Lead and own the relationship with software vendor(s) and

Managed Service Providers supporting MDM initiatives

  1. Contribute to roadmaps for Data / Information Management

  2. Define and own relevant data management principles and

policies

  1. Leverage the business to understand the data needs, data

dependencies and identify opportunities for business process

standardization, ensuring high employee engagement and

managing staff career progression

  1. Identify risks and drive continuous improvements in data

management through technological innovation, operational

improvement, and championing adoption

  1. Maintain in-depth industry knowledge regarding best practices

and technology advancements

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