Global SAP Planning Master Data Lead

Biopharma Careers; The Borough District of Drogheda; On-site; EUR 65,000 - 95,000; Full time

Benefits offered by this job

Health insurance

Pension

Bonus scheme

Excellent career progression

Work-life balance initiatives

Job summary

Viatris is a global healthcare company focused on bridging generics and brands to improve access to medicines worldwide. The Global Supply Chain Planning Master Data Analyst will define and govern high-quality planning master data across SAP and planning systems, supporting SAP S/4HANA transformation and driving data quality across global operations.

The role requires collaboration with Planning, IT, Data Quality, and Master Data teams to ensure data readiness and governance, with a focus on

Qualifications

• Bachelor’s degree in a scientific, engineering, IT, or commercial discipline.
• Hands-on experience with SAP master data in supply chain processes (MM, PTP, OTC).
• Experience validating, cleansing, and migrating data.
• Strong analytical, problem-solving, and communication skills.
• Ability to operate in complex, global, transformation-driven environments.

Responsibilities

• Serve as global functional expert for supply chain planning master data.
• Define end-to-end master data processes: creation, maintenance, validation, governance.
• Develop and improve data quality policies, standards, procedures.

Skills

Master Data Governance

SAP Master Data

Data Validation & Migration

Analytical & Problem Solving

Communication Skills

Education

Bachelor’s degree in scientific/engineering/ IT / commercial

Tools

SAP Master Data (MM, PTP, OTC)

Job description

Viatris is a global healthcare company focused on bridging generics and brands to improve access to medicines worldwide. The Global Supply Chain Planning Master Data Analyst will define and govern high-quality planning master data across SAP and planning systems, supporting SAP S/4HANA transformation and driving data quality across global operations.

The role requires collaboration with Planning, IT, Data Quality, and Master Data teams to ensure data readiness and governance, with a focus on