Senior Manager, Commercial Insights & Analytics

Stellenbeschreibung:

  • Lead analytics solution programs end-to-end, from planning through delivery
  • Liaise 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
  • Coordinate technical delivery across related digital initiatives
  • Consolidate stakeholder feedback and recommendations
  • Support change management and adoption activities
  • Establish governance for commercial data management
  • Translate complex data into actionable insights
  • Create and maintain state-of-the-art dashboards
  • Ensure consistent reporting standards and ways of working
  • Lead integration of commercial systems and platforms, including SAP, Salesforce, Veeva, and Qlik, with Power BI reporting and analytics solutions
  • Balance business outcomes with integration requirements
  • Lead enhancements to analytics and insights-generation capabilities in coordination with other workstreams
  • Balance system stability with evolving business needs
  • Lead development and enablement of AI-powered features and capabilities in line with company policies and governance guidelines

Requirements

  • At least 10 years of relevant professional experience
  • At least 5 years of relevant experience in data science, data modelling, business analysis, digital transformation, or commercial excellence roles
  • Pharma, MedTech, Life Sciences, or similar experience is a plus
  • 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
  • University degree in Computer Science, Business Administration, Economics, Engineering, Information Systems, or a related field is desired
  • 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 external pharmaceutical market data sources and characteristics, such as IQVIA
  • Strong analytical and problem-solving capabilities
  • Excellent communication, presentation, and stakeholder management skills
  • Team-oriented, proactive, structured, and flexible working style
  • 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

Core Competencies

Demonstrates expertise in leading analytics solution programs, integrating commercial systems, and translating complex data into actionable insights. Proficient in managing cross-functional teams and delivering AI-powered analytics capabilities while ensuring adherence to governance standards.

Highest-signal resume keywords

  • Analytics Solution Leadership
  • Data Visualization Expertise
  • AI-Based Solutions Experience
  • Stakeholder Management Skills
  • Commercial Data Management

ATS Optimization Keywords

Hard Skills

  • Data Science
  • Data Modelling
  • Business Analysis
  • Digital Transformation
  • Analytics Platforms
  • Data Management Concepts
  • Insight Generation
  • Dashboard Creation
  • Reporting Standards
  • Change Management

Soft Skills

  • Analytical Skills
  • Problem-Solving Skills
  • Communication Skills
  • Organizational Skills
  • Team-Oriented

Certifications & Qualifications

  • PMI Certification
  • Data Science Certification
  • Technology Certification

Industry Keywords

  • Pharma
  • MedTech
  • Life Sciences
  • Commercial Excellence
  • International Environments

Tools & Technologies

  • Power BI
  • Salesforce
  • SAP
  • Veeva
  • Qlik
  • Azure
  • Databricks
  • CRM
  • ERP
  • IQVIA

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Stelleninformationen

  • Veröffentlichungsdatum:

    16 Aug 2026
  • Standort:

    Bad Homburg vor der Höhe
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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