Job Description

1. Strategy & Governance

• Define and implement the MDM strategy, policies, and standards across global business units.
• Establish data governance frameworks, including ownership, stewardship, and approval hierarchies.
• Partner with IT, business process owners, and compliance teams to ensure data alignment with global process templates
• Develop KPIs and dashboards for monitoring master data quality, timeliness, and completeness.

2. SAP S/4HANA Master Data Leadership

• Act as the business lead for Master Data in the SAP S/4HANA implementation, focusing on Material Master, BP (Customer/Vendor), and Finance Master Data domains.
• Collaborate with MDG (Master Data Governance) and Data Migration teams to ensure data accuracy and completeness during cutover.
• Ensure alignment of master data models with Finance (CoA, Profit Centers, Cost Centers), Supply Chain, and Quality structures.
• Manage data harmonization and de-duplication initiatives across legacy systems, SAP MDG, and interfaces with third-party tools.

3. Data Quality & Stewardship

• Drive data quality improvement programs through validation rules, cleansing, and enrichment initiatives.
• Define and enforce data creation/change control workflows and approval hierarchies.
• Monitor data lifecycle from creation to archival, ensuring SOX, US GAAP, and GMP/GxP compliance where applicable.
• Conduct periodic audits and reconciliation of key master data objects (e.g., Material Groups, GL Accounts, BP Roles, etc.).

4. Cross-Functional Collaboration

• Liaise with Finance, Supply Chain, Manufacturing, Quality, and Regulatory teams to understand master data dependencies.
• Partner with Global Process Owners (GPOs) to embed master data governance within process design.
• Collaborate with IT and MDG developers for automation and workflow optimization.
• Support training and change management for data owners and business users across regions.

5. Continuous Improvement & Analytics

• Identify and implement AI/ML-based tools for duplicate detection, anomaly identification, and data health scoring.
• Develop and maintain dashboards and scorecards in Power BI/Tableau for master data KPIs.
• Lead post-go-live data improvement waves and ensure continuous governance maturity.

Key Domains of Responsibility:

DomainScope of DataKey ConsiderationsMaterial MasterFG, SFG, RM, PM, API, Lab SuppliesValuation class, batch management, regulatory attributesBusiness Partner (Vendor/Customer)Global Suppliers, CMOs, CROs, Customers, DistributorsTax, banking, withholding, regional complianceFinance MasterChart of Accounts, Cost Centers, Profit CentersMulti-ledger (US GAAP / IND AS), Segment ReportingPlant & Organizational StructuresPlant, Storage Locations, Sales Org, Company CodeCross-country alignment, SEZ/EOU segregationEmployee / HR Data (if in scope)HR master for role mappingSecurity roles, workflow approvals

• Education: CA / MBA (Finance / Operations) / BE / B.Tech. preferred.
• Experience: 10–15 years total, with at least 5 years in Master Data Management in a global SAP environment.
• Proven experience in SAP MDG, S/4HANA, and data governance frameworks
• Exposure to pharmaceutical / life sciences regulatory environments preferred.
• Strong knowledge of data models, process governance, and cross-domain dependencies
• Proficiency in tools: SAP MDG, SAP Information Steward, Data Services, Power BI, Excel, SQL.

Key Skills:

• Data governance and process design
• SAP MDG and S/4HANA master data expertise
• Stakeholder management across global functions
• Analytical and problem-solving mindset
• Excellent communication and documentation skills
• Change management and training leadership

KPIs / Success Metrics:

AreaKey Performance IndicatorData Quality% accuracy and completeness of master dataProcess EfficiencyTurnaround time for master data creation/changeCompliance% adherence to governance and approval workflowsProject DeliveryTimely migration and go-live readinessUser SatisfactionStakeholder feedback and adoption rate