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Lonza

Global Master Data Integration Supervisor

Lonza is hiring a Global Master Data Integration Supervisor in San Jose, United States. Level rates it ; you can apply on Lonza.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include SAP S 4hana, master data management and data governance.
  • Level classifies it as a lead role.
  • Level lists 597 other open roles at Lonza.
  • The role was posted in the last few days.

AI in this role

Lead global master data integration, governance, and operations supporting SAP S/4HANA transformations and acquisitions.

SAP S 4hana
master-data-managementdata-governancedata-migrationerp

Global Master Data Integration & Operations Supervisor


Location: San Jose, Costa Rica


Join Lonza’s global data organization in a pivotal role that combines acquisition integration, master data governance, and operational excellence. This is an exciting opportunity to shape how critical business data is managed across a global enterprise while supporting strategic transformation initiatives and ensuring the integrity of master data that enables business success.


What you will get:

  • An agile career and dynamic working culture.
  • An inclusive and ethical workplace.
  • Compensation programs that recognize high performance.
  • A variety of benefits dependent on role and location.

What you will do:

  • Lead master data integration activities for acquisition and transformation projects, including data mapping, cleansing, validation, migration, testing, cutover, and post-go-live support.
  • Partner with business stakeholders, IT teams, Global Process Owners, and project workstreams to ensure successful integration into Lonza’s systems and governance framework.
  • Manage global master data operations, including data creation, maintenance, approvals, governance controls, and change request processes.
  • Monitor master data quality metrics, investigate data issues, conduct root cause analysis, and drive corrective and preventive actions.
  • Establish, maintain, and enhance master data standards, governance policies, operating procedures, and quality frameworks across multiple business domains.
  • Support SAP S/4HANA implementation and data transformation initiatives while promoting data harmonization, standardization, and operational excellence.
  • Act as a subject matter expert, providing guidance, training, onboarding support, and knowledge transfer to business and functional teams globally.

What we are looking for:

  • Experience in Master Data Management, Data Governance, Data Quality, or Business Process Management within a complex global organization.
  • Strong expertise in SAP S/4HANA master data processes, governance frameworks, and ERP transformation initiatives. SAP Supply Chain module experience required.
  • Experience supporting acquisitions, mergers and acquisitions (M&A) integrations, data migration programs, or large-scale business transformation projects.
  • Proven ability to perform data mapping, cleansing, validation, migration, and quality assessment activities while managing risks and governance requirements.
  • Strong analytical, problem-solving, stakeholder management, and communication skills, with the ability to collaborate effectively across global teams.
  • Bachelor's degree in Information Management, Business Administration, Supply Chain, Life Sciences, Engineering, or a related discipline. Relevant certifications in SAP MDG, SAP S/4HANA, Data Governance, or similar areas are advantageous.
  • Advanced Microsoft Excel and data analysis skills, with a commitment to operational excellence, continuous improvement, and governance compliance.

About Lonza


At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.

Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we offer equal employment opportunities to all qualified applicants regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by law. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.


Ready to shape the future of life sciences? Apply now.

How we rate this

Global Master Data Integration Supervisor at Lonza rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Master Data ManagementData GovernanceData MigrationERPSAP S 4hana

Questions you could be asked

  1. Tell me about a project where master data management was part of your work. What did you do?
  2. Tell me about a project where data governance was part of your work. What did you do?
  3. Tell me about a project where data migration was part of your work. What did you do?
  4. Tell me about a project where erp was part of your work. What did you do?
  5. Walk me through how you've used SAP S 4hana in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Master Data Management, Data Governance, Data Migration, ERP, and SAP S 4hana. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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