> Markdown version of [/jobs/ext/4496663-senior-data-analytics-operations-manager](https://www.wearedevelopers.com/jobs/ext/4496663-senior-data-analytics-operations-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analytics Operations Manager - **Company:** Boehringer Ingelheim GmbH - **Location:** Ingelheim am Rhein, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analytics, GXP - **Published:** November 1, 2026 - **Apply:** https://www.careerjet.de/jobad/de0b0b593a95f9fd76a5d69019a390c148 ## About the Role * Master's degree in a scientific discipline with several years of GxP experience within the pharmaceutical industry, CROs, or regulatory authorities; a PhD would be a valuable addition. * Direct Clinical Trials experience is a must (e.g. CRA, Clinical Project Manager) * Demonstrated leadership skills, strategic thinking, and the ability to identify and manage complex business risks. * Strong analytical skills with the ability to interpret data and translate insights into risk mitigation and continuous improvement actions. * Excellent organizational skills and ability to manage multiple priorities and stakeholders in a dynamic environment. * Knowledge of quality management processes and risk-based approaches within regulated environments. ## Description Embrace the challenge as a Senior Data Analytics Operations Manager within our Risk Management Team. In this role, you will contribute to continuous improvement of our enterprise Quality Risk Management capability. This position can be filled in Ingelheim or Biberach This position is part time eligible with 80 %. Tasks & responsibilities * Bring together Quality, clinical, operational, and compliance data to create an integrated view of enterprise Quality risk. * Identify emerging, systemic, and cross-functional risks before they become significant Quality or compliance issues. * Convert complex data into meaningful insights and recommendations for senior decision-makers. * Provide independent Quality oversight and challenge risk assessments, mitigation strategies, control effectiveness, and risk-acceptance decisions. * Establish and monitor risk indicators, thresholds, trends, and escalation criteria. * Support Quality governance, risk-based assurance planning, management reviews, audits, and regulatory inspection readiness. * Track whether mitigation actions are completed and deliver the intended reduction in risk. * Matrix-lead a team of Data Analytics Operations Managers by setting priorities, coordinating capacity, coaching team members, and ensuring consistent delivery. * Work across organizational boundaries to embed proactive, data-driven risk management throughout the business.