Global Head of Analytics Strategy, Solutions, Insights
Grünenthal Group
full-time
Posted on:
Location Type: Hybrid
Location: Aachen • Germany
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Job Level
About the role
- Own and lead the company’s global commercial data and analytics capability, ensuring data is easy to access, reliable, and truly useful for decision making.
- Transform today’s fragmented and manual data landscape into an integrated, automated analytics platform that supports brands, countries, and leadership teams.
- Define a pragmatic, multi year analytics roadmap that fits a mid size pharmaceutical company — balancing innovation, speed, scalability, and cost.
- Ensure commercial data (sales, CRM, omnichannel, patient, market research, etc.) is consistently collected, integrated, and governed across key markets.
- Move the organization beyond basic reporting toward predictive and action oriented insights (e.g. forecasting, targeting, scenario planning).
- Translate complex data into clear insights, decision rules, dashboards, and playbooks embedded into daily commercial workflows.
- Build analytics products and simple self service tools that support brand teams, country leadership, and the field force.
- Establish strong data governance, quality, privacy, and compliance standards in collaboration with IT, Legal, and Compliance.
- Build and lead a high performing analytics team, while improving data literacy across commercial teams.
- Act as a trusted strategic advisor to senior leadership, providing fast, high quality analytics to support key business decisions.
Requirements
- An advanced degree in data, analytics, computer science, statistics, or a related field; an MBA or pharma specific qualification is a plus.
- 15+ years of experience in data and analytics, including senior leadership roles within pharmaceutical or life sciences commercial environments.
- A proven track record of leading data transformation initiatives, from architecture and engineering to advanced analytics adoption.
- Strong hands on understanding of cloud data platforms, data engineering, BI/visualisation, and advanced analytics (e.g. SQL, Python, Power BI).
- Deep knowledge of pharma commercial operations, including sales, marketing, omnichannel engagement, market access, and brand planning.
- Experience working with key pharma data types and platforms (e.g. sales data, CRM, patient level data, marketing automation systems).
- Solid understanding of data governance, master data management, and healthcare data privacy requirements.
- A strategic yet pragmatic leadership style, able to connect technical solutions with real business needs.
- Strong communication skills, with the ability to explain complex topics to non technical stakeholders and executives.
- Demonstrated ability to build, lead, and develop high performing teams and drive change in complex organizations.
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
data analyticsdata transformationdata engineeringadvanced analyticsSQLPythonPower BIdata governancemaster data managementdata privacy
Soft Skills
strategic leadershipcommunicationteam buildingchange managementdata literacyproblem solvingdecision makingcollaborationadvisory skillspragmatic thinking
Certifications
advanced degree in dataadvanced degree in analyticsadvanced degree in computer scienceadvanced degree in statisticsMBApharma specific qualification