Manager, Commercial Data Management, Life Sciences
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Likely real
- open for 79 days (60–89 days is elevated risk)
- 88 open roles at this company in 30 days (mass-hiring blitz)
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About the role
We'll Trust you to:
Lead Impactful projects- Oversee the development of proposals and ensure that projects meet and exceed quality standards while delivering on time and within budget.
Develop Data-Driven Solutions: Build and enhance complex reports, online tools, and data processes; perform advanced analyses and communicate insights effectively to clients.
Leverage Coding skills: Utilize SAS, Python, VBA to facilitate data processing and reporting, ensuring accuracy and efficiency.
Drive Client Success : Grow external client engagements, own key aspects of client relationships, and ensure satisfaction.
Monitor project progress, manage risks, and keep stakeholders informed of outcomes; manage financial aspects of projects, including drafting SOWs and managing invoices.
Identify Growth Opportunities: Identify areas for firm growth, creating action plans that include new offerings and improvements to best practices.
Lead and Mentor Teams: Motivate & guide diverse teams while fostering an innovative, inclusive, collaborative work environment, Support team's professional development
Support Organizational Development: Contribute to management initiatives, including employee engagement, recruitment, training, and ongoing education; contribute to internal initiatives as needed.
What You Bring:
Education & Experience : Bachelor's or advanced degree with at least 8 years of professional experience in data and analytics within the life sciences or pharmaceutical industry.
Strong understanding of Pharmaceutical commercial functions, including Data Management, Sales Operations, Commercial Analytics, and BI/Reporting.
Technical Expertise: Strong coding skills (SAS, Python, VBA) and experience with data visualization tools (Tableau, Power BI) are strongly preferred. Proficiency in Microsoft Office (PowerPoint, Word) with advanced Excel skills
Analytical Skills: Advanced analytical and quantitative aptitude, with exceptional problem-solving skills.
Project & People Management: Proven project management and people management skills, with experience as a team leader or manager.
Industry Knowledge: Knowledge of current trends and best practices in analytics within the life sciences industry.
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