Professional | Permanent | Full-time | Hybrid
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Our Corporate Functions teams make sure everything at Grünenthal runs smoothly by bringing together people with a wide range of skills – from experts in finance, IT, HR, law and compliance through to business strategists and creative media minds. If you’re a great collaborator and a strong communicator, you’ll feel right at home here. Join our team and join forces with colleagues across our business to maximise our company’s positive impact on patients and their families.
What The Job Looks Like
Lead and collaborate with a cross-functional squad, aligning business and IT stakeholders
Define and drive a clear product vision, ensuring measurable business value and impact for Quality (QA & QC)
Own end-to-end accountability for a digital, data-driven Quality product across its full lifecycle
Translate business, regulatory (GxP), and user needs into scalable and compliant product solutions
Act as digital owner for core Quality processes and systems (e.g. QMS, deviations, CAPA, audits, change control / LIMS, Empower, Binocs and other)
Set priorities and make transparent, value-based decisions across build, run, and continuous improvement
Drive harmonization and standardization of global Quality solutions
Enable data-driven decision making through strong data foundations, analytics, and insights
Identify and scale automation and AI use cases to improve efficiency, quality, and transparency
Ensure full compliance, validation, audit readiness, and data integrity throughout the product lifecycle
What You’ll Bring To The Table
10+ years of experience in digital, data, or technology-driven product roles
Working experience in Pharmaceutical Industry
Deep understanding of Quality Management Systems (QMS), including deviations, CAPA, audits, and change control
Experience xjrgpwk with GxP regulations and computerized system validation (CSV/CSA)
Familiarity with industry tools (e.g. MasterControl, Veeva, TrackWise or similar)
Proven experience in data-driven product development
Strong understanding of data governance, data models, and data quality
Experience with automation technologies (e.g. workflow automation, RPA, low-code platforms)
Exposure to AI/ML use cases, ideally in regulated environments
"Drive value and shape a strong Quality culture by leveraging data, digital solutions, and close collaboration across teams".Marcel Groten, the Hiring Manager
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