Head of Commercial Data Solutions (m/f/d)

YOUR TASKS AND RESPONSIBILITIES
 

• Be responsible for Bayer Pharma commercial Data Vision & Strategy, including scouting and acquisition, data aggregation, systems and architecture, data training, data documentation, and data quality
• Understand the customer data needs across stakeholders (TAs, Regions, Countries, IT, finance, etc.), building and owning the end-user vision as well as partnering with them on their data needs and data strategy
• Develop, implement and monitor data management procedures (e.g. ensure alignment of data algorithms, business rules, etc.) to ensure data integrity and compliance (including but not limited to GDPR), data quality, data integrity, and data standards 
• Be accountable for the identification of data quality issues and for their resolution in partnership with IT and TAs/countries, as well as for procurement of commercial data in an efficient, automated, and highly user-friendly way to all commercial stakeholders 
• Manage relationships with third-party service providers to drive implementation of strategies in partnership with relevant internal stakeholders 
• Identify data needs for reporting, analytics, data science requirements driving business outcomes, translate business needs into business requirements, and manage internal and external resources to execute the specific data and reporting deliverable 
• Attract, develop, and retain talent that supports commercial data solutions 

WHO YOU ARE
 

• Master’s degree in computer/data science, mathematics, engineering, statistics or economics (MBA) or a similar qualification
• Long-term relevant business experience and a proven track record in healthcare commercial data and analytics, preferably across multiple regions (US/America, Europe, Asia)
• Demonstrated ability to successfully build, motivate and lead a (virtual) team of experts that respect intercultural sensitivity to drive multidisciplinary/cross-functional workstreams
• Solid business acumen and understanding of the pharmaceutical industry value chain i.e. understanding the key operational metrics of the business and their impact on profit and loss, revenue, and customer retention with a focus on marketing and sales
• Understanding of and experience with various pharmaceutical data sources (IQVIA, VEEVA, HEOR data, etc.), reporting and analytic tools as well as deep knowledge and experience with cloud-based, big data technologies
• Strong problem-solving and communication skills and the ability to identify core issues, to structure problems and to consolidate the disparate business requirements into clear, concise documentation, communicating complex ideas and data solutions clearly to non-technical audiences
• Excellent planning, organizational and negotiation skills with both internal and external stakeholders/agencies
• Fluent in English, both written and spoken; command of the German language is a plus