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Job Title:

Data Program Manager

Company: Kelly Science, Engineering, Technology & Telecom

Location: new delhi

Created: 2026-03-31

Job Type: Full Time

Job Description:

MDG Data Program Manager / Workstream Lead – Global Transformation (MedTech) Location: Remote (Europe or APAC preferred) Contract Details 12+ month FTC 40 hours per week Start: ASAP About the Company Our client is a global healthcare and medical technology organisation , recognised for its innovation and impact across pharmaceuticals and medical devices. They are currently undergoing a large-scale global transformation programme , focused on modernising systems, improving data quality, and standardising processes across regions. This initiative plays a critical role in enabling better decision-making, regulatory compliance, and operational efficiency worldwide. The Role This role will lead the Master Data Governance (MDG) workstream within a global SAP transformation programme. You will be responsible for driving strategy, delivery, and adoption of master data processes , ensuring data is consistent, high-quality, and aligned across multiple regions and business units. Working across business and technology teams, you will play a key role in shaping how data is managed and governed at an enterprise level. Key Responsibilities Programme & Delivery Management Lead the MDG workstream across planning, execution, and go-live Manage timelines, risks, dependencies, and overall delivery progress Coordinate with cross-functional teams including data migration, testing, and integration Support deployment activities including cutover and post-go-live (hypercare) Data Governance & MDG Setup Define and implement master data processes (create, update, retire) Establish roles such as Data Owners and Data Stewards Drive global data standards across key domains (e.g. Product, Customer, Vendor, Finance) Implement data quality controls, KPIs, and monitoring frameworks SAP & Solution Alignment Support design and implementation of SAP MDG within S/4HANA environments Ensure alignment with integration tools and broader system landscape Promote standardisation and scalable solutions across regions Data Migration & Readiness Work closely with migration teams on data mapping, cleansing, and validation Ensure readiness through testing cycles and mock data loads Support reconciliation and data quality sign-off ahead of go-live Testing & Quality Assurance Oversee testing activities across MDG (SIT, UAT) Ensure data governance processes are tested and validated Track defects and ensure resolution prior to deployment Stakeholder Management & Change Engage with global stakeholders across business and IT Drive alignment on data standards and governance processes Support training and adoption of new ways of working Risk & Compliance Ensure data processes meet regulatory and compliance requirements Maintain clear documentation and audit readiness Identify and manage risks across the workstream Required Experience Strong experience in SAP MDG within large transformation programmes Proven background in SAP S/4HANA environments Experience working across multiple master data domains Strong programme or workstream leadership experience Experience implementing data governance frameworks and processes Ability to manage global stakeholders across regions Preferred Experience Experience within Healthcare, Life Sciences, or MedTech Exposure to SAP integration tools or cloud platforms (e.g. BTP) Experience in data migration and large-scale system implementations Familiarity with data quality, metadata, or governance tools Relevant certifications (SAP, PMP, Prince2, etc.) Key Skills Programme and stakeholder management Data governance and master data expertise Strong communication and leadership skills Problem-solving and decision-making Ability to operate in global, complex environments Success in the Role Looks Like Smooth delivery of MDG workstream aligned to programme timelines High-quality, consistent master data across systems Strong adoption of governance processes globally Improved efficiency and reduced data-related issues post go-live Additional Information Global, cross-time-zone collaboration required Some travel may be needed depending on project phase

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