We are hiring for Master Data Manager / Data Governance Lead - Remote , India

Experience : 6 to 10 Yrs

Job Title : Master Data Manager / Data Governance Lead

Role Objective :

This role is responsible for ensuring the integrity, consistency, and usability of all core business data across systems such as CRM, service platforms, dealer systems, and finance/ERP.

The position serves as the single point of accountability for maintaining a unified and reliable single source of truth, enabling accurate operations, reporting, and decision-making across the organization.

Scope of Master Data :

The role will oversee governance and lifecycle management of key business entities, including :

- Customers (B2C and B2B)

- Dealers / Channel Partners

- Contractors / Service Providers

- Products and SKUs

- Pricing structures and schemes

- Locations (stores, territories, operational zones)

- Employees and role hierarchies

- Vendors and suppliers

Key Responsibilities :

1. Master Data Governance :

- Define and classify master data vs transactional data across systems

- Establish clear data ownership across business functions (Sales, Service, Finance, Product)

- Create and enforce data standards, definitions, and naming conventions

- Develop and implement data governance frameworks and policies

2. Data Quality Management :

- Define data quality metrics (completeness, accuracy, duplication, timeliness)

- Implement validation rules at source systems

- Conduct periodic audits to identify :

a. Duplicate records

b. Incorrect classifications (e.g., territory, partner type)

c. Missing or inconsistent data fields

- Lead data cleansing initiatives and continuous quality improvement

3. Master Data Lifecycle Management :

- Design and implement workflows for :

a. Data creation (e.g., onboarding new partners or customers)

b. Data updates (pricing, territory changes, hierarchy updates)

c. Deactivation and archival processes

- Ensure approval workflows are enforced across systems

- Maintain and monitor golden records

4. Cross-System Data Consistency :

- Ensure alignment of master data across :

a. CRM platforms

b. Service and operational systems

c. Dealer / partner systems

d. Finance and ERP systems

- Define system of record (SoR) for each data entity

- Work with engineering teams to manage :

a. Data synchronization logic

b. APIs and integrations

c. Conflict resolution mechanisms

5. Reporting & MIS Reliability :

- Partner with analytics teams to ensure consistent reporting definitions

- Eliminate discrepancies across dashboards and reports

- Act as the gatekeeper for business-critical metrics and data accuracy

6. Business Enablement :

- Translate business requirements into structured data models and hierarchies

- Support :

a. Pricing and discounting frameworks

b. Allocation and matching logic

c. CRM segmentation and campaigns

- Enable scalable data structures aligned with business growth

7. Tooling & MDM Evolution :

- Evaluate and implement Master Data Management (MDM) tools as needed

- Establish data catalogs and documentation frameworks

- Start with lightweight governance (Excel, CRM systems) and scale towards enterprise-grade solutions

Key Deliverables (First 6 Months) :

- Comprehensive Master Data Dictionary across all entities

- Defined data ownership matrix across teams

- Reduction of duplicate records by 7080%

- Implementation of standardized data creation and update workflows

- Clear definition of system of record (SoR) for each data entity

- Monthly data quality scorecard and reporting framework

Key Stakeholders :

- Product and platform teams (CRM, applications, commerce)

- Analytics and MIS teams

- Sales and field operations

- Finance

- Engineering / IT

Ideal Candidate Profile :

Experience :

- 5 to 10 years of experience in :

a. Data governance, MDM, or business analytics roles

b. OR operations roles with strong data ownership exposure

- Experience in industries such as FMCG, retail, marketplaces, or services is preferred

Core Skills :

Must Have :

- Strong understanding of business processes and operational workflows

- Ability to identify inconsistencies and perform root cause analysis

- Hands-on experience with CRM and/or ERP systems

- Structured thinking with high attention to detail

Good to Have :

- Exposure to MDM tools (e.g., Informatica, SAP MDG, etc.)

- Basic SQL or data querying skills

- Understanding of data modeling concepts

Mindset & Behavioral Expectations :

- Strong ownership mindset takes accountability for data quality issues

- Operates with first-principles thinking, not tool dependency

- Ability to enforce discipline and push back when required

- Balances practicality with long-term scalability

Success Metrics (KPIs) :

- Reduction in duplicate records

- Data completeness and accuracy scores

- Error rate in business-critical reports

- Turnaround time for data creation and updates

- Adoption of governance processes across teams

- Reduction in business escalations related to data issues