SAP MDM/MDG

Capgemini Invent; Mumbai; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading consulting firm in Mumbai is seeking a Mid-Senior Level professional skilled in SAP MDM/MDG with expertise in AI/ML for a hybrid role. The candidate will drive data management automation and collaborate with various teams to support data quality and governance. Ideal applicants should hold a Bachelor's degree in Computer Science and possess 6+ years' SAP data management experience. This role requires exceptional analytical skills and the ability to align technical solutions to strategic business goals.

Qualifications

• 6+ years in SAP data management; 2–3 years in AI/ML adoption.
• Strong business acumen aligning technical solutions to strategic goals.
• Experience with Agile and Waterfall methodologies.

Responsibilities

• Lead design and implementation of master data governance solutions.
• Generate ideas to improve product maturity and service architecture.
• Collaborate with reporting teams to consolidate requirements.

Skills

SAP MDM/MDG expertise

Data mapping

AI/ML proficiency in Python

Strong analytical skills

Exceptional communication skills

Education

Bachelor’s in computer science or equivalent

MBA (preferred)

Tools

SAP S/4 HANA

TensorFlow

SAP BTP

Job description

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Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what’s next for their businesses.

This hybrid role combines Business Analyst expertise with technical proficiency in SAP MDM/MDG frameworks, enhanced by AI/ML capabilities. It focuses on automating key data management functions such as data quality improvement, duplicate detection, enrichment, historical data support and predictive data governance—driving operational efficiency and enabling data-driven decision-making across the enterprise.

Responsibilities

• Experience in SAP MDG, S/4 HANA, data mapping, and large-scale integration is essential.
• Harmonization of master data across legacy ECC, PS4, and S/4 systems, supporting reporting and operational needs.
• Working knowledge of SAP S/4HANA, On-Prem, Public/Private Cloud, SAP BTP.
• Generates ideas and improves the organization’s product maturity, service architecture, and solution delivery.
• Leads the design and implementation of scalable, enterprise-wide master data governance solutions.
• Define and implement key, field, and value-level mappings for material, finance, and commercial data objects, ensuring dynamic updates and historical data support.
• Support cutover, data migration, and validation activities, coordinating with stakeholders and managing complexity across systems.
• Use ML algorithms to predict data errors and recommend corrections.
• Integrate AI models with SAP MDM/MDG for intelligent data matching, classification, and cleansing.
• Collaborate with reporting, UDP, IBP, and Salesforce teams to consolidate requirements and drive solution architecture.

Qualifications

• Bachelor’s in computer science or equivalent degree, MBA (preferred)
• Strong analytical and problem‑solving skills
• Exceptional communication and influencing skills
• Strong business acumen with ability to align technical solutions to strategic goals.
• Experience with designing, implementing, and executing data transformation/conversion projects to S/4 HANA environments, effectively communicating to internal/external stakeholders based on data for decision making.
• Experience in IT project delivery by methodologies like Waterfall, Agile.
• Excellent communication, creative problem solver, flexible, proactive, attitude to learn new tools/technologies and have demonstrated experience in effectively working within a fast‑paced, changing environment.
• Shape future‑proof operating models leveraging digital, analytics and ecosystem partnerships.

Key Skillsets

• Work with business stakeholders to gather requirements and complete artifacts, including solution design, detailed technical design.
• SAP MDM/MDG expertise with understanding of data models and governance.
• Deep expertise in SAP ERP (S/4HANA, ECC) and MDM tools AI/ML proficiency in Python, TensorFlow, or SAP AI Core.
• Knowledge of REST APIs and integration between SAP and non‑SAP AI systems.
• Strong understanding of data strategy, data quality, and business processes.

Experience Level

• 6+ years in SAP data management; 2–3 years in AI/ML adoption or projects.
• Exposure to cloud and hybrid data landscapes.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Consulting
• Business Consulting and Services and IT Services and IT Consulting