Ready to shape the future of work?
- At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
- If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.

Responsibilities:
- Maintain product specification & harmonisation, plan and create current item onboarding, Dispatch, and track product documents (terms and conditions, master data sheets, etc.)
- Cooperate with international and national business departments within the scope of international master data management processes
- As a Master Data Specialist, you are responsible for monitoring data quality (e.g.,



via dedicated data quality tools)
- You identify data quality improvements opportunities and align their implementation with the responsible teams
- You ensure accuracy and adhere to metrics/KPIs / ensure data quality for deliverable is met and all metrics adhered
- You are supporting the knowledge transfer to internal stakeholders, as well as supporting in global projects related to data quality
- Responsible for all master data objects in respective scope of materials, buying organization and pricing.
- Execute day to day Master data management activities
- Ensure master data integrity between modules & systems at efficient quality and accuracy, Coordinate, Analyse and facilitate resolution of issues
- Propose opportunities for improvement of Master Data Quality
- You ensure error correction by end users and manage data incidents
- Creating Data Quality report requests on behalf of the business teams to be implemented

📌 Mdm-mt (Hyderabad)
🏢 Genpact
📍 Hyderabad