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Commercial Insights & Analytics Solutions Senior Manager (m/f/d)

100045 Fresenius Kabi AG · Bad Homburg, Germany

Data Science / AI / Machine LearningSenior LevelQuick applyfull-timeabout 6 hours ago

About The Role

The Commercial Insights & Analytics Solutions Senior Manager will play a pivotal role in shaping, delivering and continuously improving global commercial analytics capabilities that enable data-driven decision-making across Fresenius Kabi.

This role is responsible for leading the design, delivery, and continuous evolution of analytics solutions that enable data-driven decision-making across the organization . The role translates business priorities into scalable analytics capabilities, ensuring solutions are aligned with strategic objectives and designed to support long-term business growth.

Acting as the key interface between business and technology, the role drives cross-functional collaboration and internal and external stakeholder management to define requirements, establish solution architecture, oversee implementation, and ensure the successful delivery of integrated, high-quality analytics solutions. The successful candidate will be expected to drive standardization, improve data quality, strengthen reporting governance and identify opportunities to enhance insights generation through automation, advanced analytics and AI-enabled capabilities.

Key Responsibilities

Analytics Solution Strategy & Insights Delivery Ownership

  • Lead analytics solution programs end-to-end, from planning through to delivery
  • Act as a key liaison between IT, digital, commercial teams and external vendors
  • Ensure solutions are delivered on time and within scope
  • Coordinate tasks across internal and external teams and manage vendors

Stakeholder Management and Cross-Functional Leadership

  • Coordinate technical delivery across related digital initiatives
  • Consolidate stakeholder feedback and recommendations
  • Support change management and adoption activities

Data Governance & Dashboard Visualization

  • Establish governance for commercial data management
  • Turn complex data into actionable insights
  • Create and maintain state-of-the-art dashboards
  • Ensure consistent reporting standards and ways of working

Integration & Enhancements including AI enablement

  • Lead the integration of commercial systems and platforms, including SAP, Salesforce, Veeva and Qlik, with Power BI reporting and analytics solutions
  • Ensure an appropriate balance between business outcomes and integration requirements
  • Lead enhancements to analytics and insights generation capabilities in coordination with other workstreams, ensuring an appropriate balance between system stability and evolving business needs
  • Lead the development and enablement of AI-powered features and capabilities in line with company policies and governance guidelines

Requisite Qualification & Experience

Functional Expertise

  • At least 10 years of relevant professional experience (Pharma, MedTech, Life Sciences, or similar is a plus)
  • At least 5 years of relevant experience in data science, data modelling, b usiness a nalysis, d igital t ransformation or c ommercial e xcellence roles
  • Strong expertise in analytics platforms, data visualization tools, and data management concepts
  • Experience with AI-based solutions and analytics capabilities is required
  • Comfortable working in international and cross-functional environments

Desired Qualifications and Skills

  • University degree in Computer Science, Business Administration, Economics, Engineering, Information Systems or a related field
  • Deep expertise in data, visualization, and insight generation
  • Familiarity with Azure, Databricks, Power BI, Salesforce, CRM, ERP, or related business platforms is preferred
  • Understanding of the sources and characteristics of external pharmaceutical market data (e.g., IQVIA)
  • Strong analytical and problem-solving capabilities, excellent communication, presentation, and stakeholder management skills
  • Team-oriented, proactive, structured, and flexible working style, with strong organizational skills, attention to detail, and reliable follow-through
  • PMI, data science, technology or equivalent certifications are a plus
  • Fluent English; additional language skills are an advantage
  • Willingness to travel internationally

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