ClinDev Operations Data & Analytics Lead

Boehringer Ingelheim GmbH; Ingelheim am Rhein, Biberach an der Riß; Remote; EUR 120.000 - 160.000; Vollzeit

Zusammenfassung

Boehringer Ingelheim GmbH is seeking a visionary ClinDev Operations Data & Analytics Lead to enable data-driven decision making across Clinical Development Operations. You will define the data domain, govern data, and lead a global analytics team to deliver timely insights and KPI-based steering for medicines and clinical trials.

This senior role can be filled in Ingelheim or Biberach, requiring strategic thinking, strong stakeholder management, and a track record in data strategy and digital

Qualifikationen

• Master’s degree or equivalent in a related field.
• Extensive experience in pharma/healthcare with data strategy, analytics, digital transformation and clinical development operations.
• Proven leadership building and guiding high-performing global data and analytics teams.
• Deep understanding of clinical development processes, data governance, regulatory and privacy requirements.

Aufgaben

• Lead and optimize CDO’s data and analytics ecosystem for high-quality, trustworthy data-driven decisions across CDO and Medicine.
• Define and operationalize the CDO data domain and digital flow processes for data readiness and privacy transparency.
• Lead KPI definition and rollout across enterprise and regional levels to improve transparency and decision making.
• Build a unified data and analytics demand management process aligned to strategic objectives.
• Develop a high-performing, globally distributed analytics team and foster collaboration and continuous improvement.
• Drive adoption of data-driven decision-making as a key driver of efficient execution and trial delivery.

Kenntnisse

Leadership

Data governance

Data strategy

Analytics

Cross-functional

Global collaboration

Stakeholder management

Digital transformation

Ausbildung

Master’s degree in data science, computer science, statistics, medicine, life sciences, business administration

Jobbeschreibung

ClinDev Operations Data & Analytics Lead

The Position

We are seeking a visionary and experienced Data & Analytics Lead to join our CDO Business Operations team. In this strategic leadership role, you will enable organizational health monitoring, proactive data and analytics insights and data readiness across Clinical Development Operations (CDO) by leading the definition and operationalization of the CDO data domain, establishing transparent data governance and embedding data-driven decision-making into daily business routines. You will partner with CDO leadership, Medicine functions, IT and global stakeholders to provide timely global analytics and insights, strengthen KPI-based steering, improve data quality and readiness, and foster a mature digital and data-driven mindset across CDO and Medicine.

This position can be filled in Ingelheim or Biberach.

Tasks & responsibilities

• Lead, integrate, and optimize CDO’s global data and analytics ecosystem including appropriate self-service access and benchmarking to ensure high-quality, trustworthy, and strategically aligned data-driven decisions across CDO and Medicine.
• Define and operationalize the CDO data domain and digital flow processes to ensure data readiness, compliance, privacy transparency, and smooth integration across functions.
• Lead the definition, rollout, and continuous improvement of CDO organizational health KPIs across global/enterprise, regional/functional and operational levels to enhance transparency and better decision making.
• Build and operationalize a unified, transparent data and analytics demand management process for CDO that ensures prioritization aligned to strategic objectives, efficient delivery, clear expectations and alignment across demand sources and delivery paths.
• Inspire and develop a high-performing global data and analytics team, fostering collaboration, learning, innovation, smart risk-taking and continuous improvement to accelerate clinical trial delivery and drive patient value.
• Drive adoption of organizational health KPIs and data-driven decision-making as strategic enablers of efficient execution and predictable trial delivery by fostering a digital and data mindset, making impact visible and enabling leaders and teams to use insights confidently in business routines.

Requirements

• Master’s degree or equivalent, preferably in data science, computer science, statistics, medicine, life sciences, business administration or a related field.
• Extensive experience in the pharmaceutical or healthcare industry, with a strong track record in data strategy, analytics, digital transformation and clinical development operations.
• Proven leadership in building and guiding high-performing teams across data, analytics and digital domains and across global, cross-functional and cross-geographical settings.
• Deep understanding of clinical development processes, data governance, regulatory and legal requirements, data privacy and compliance expectations in a pharmaceutical environment, with the ability to translate requirements into pragmatic data domain and digital flow processes.
• Proven ability to lead, integrate and optimize data and analytics ecosystems across global, cross-functional and cross-geographical settings, including alignment of analytics resources and operating practices.
• Strong stakeholder management and communication skills, including the ability to translate complex data and analytics topics into clear, actionable messages for senior leaders and diverse audiences.
• Demonstrated financial and digital acumen, including experience with advanced analytics platforms, emerging technologies, resource optimization, and data-driven value realization.

As part of our commitment to transparency and fairness, salary information will be shared during the recruitment process. We also offer a comprehensive benefits and wellbeing package.
Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process.