Director, Analytics Engineering & BI Architecture / Reporting

 

Work Your Magic with us! Start your next chapter and join EMD Serono.

 

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.  

 

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

 

This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US. 

 

Your Role:

The Director, Analytics Engineering & BI Architecture / Reporting is a pivotal strategic leader who will define and execute the enterprise BI and reporting architecture, enabling data-driven decision-making across the organization. This role encompasses both strategic oversight and hands-on leadership, guiding a team of BI Architects and Analytics Engineers in the design of scalable analytical data models, development of modern cloud-based data layers, and delivery of impactful Tableau dashboards.

 

The Director will collaborate closely with business stakeholders, data engineering, analytics teams, and IT to ensure that reporting solutions are accurate, scalable, and aligned with the evolving needs of the business. In addition to possessing strong technical expertise in cloud data platforms and Tableau, this role requires exemplary leadership skills, including the ability to manage priorities, influence, coach the team, and represent the reporting function across cross-functional initiatives.

Success in this role necessitates exceptional architectural judgment, robust stakeholder engagement, and the capability to balance immediate delivery with long-term platform strategy.

 

Key Responsibilities:

Team Leadership

• Lead, develop, inspire, and manage a high-performing team of BI Architects and Analytics Engineers responsible for enterprise reporting and analytics solutions.
• Provide coaching, mentorship, and technical guidance to uphold superior engineering and visualization standards.
• Strategically manage team priorities, performance, reporting requests, and resource allocation across diverse business initiatives.
• Define and communicate a clear vision and strategy for the team, aligning team goals with organizational objectives to drive innovation and excellence.
• Foster a culture of collaboration, continuous learning, and professional growth by identifying training needs, facilitating skill development, and mentoring team members.
• Implement performance management processes, including regular feedback, performance reviews, and development plans, to ensure team members meet their potential and contribute effectively
• Guide the team through change initiatives, ensuring smooth transitions and maintaining morale during periods of transformation or adaptation.
• Promote a culture of innovation by encouraging team members to explore new technologies, methodologies, and processes that enhance productivity and quality
• Build strong relationships with internal and external stakeholders to understand their needs and ensure the technical team delivers effective solutions that meet business requirements.
• Provide technical direction and support to the team, ensuring alignment with industry best practices and organizational standards.

Analytics Architecture & Data Modeling

• Define and maintain scalable analytical data models within cloud data platforms such as Redshift and Snowflake.
• Design business transformation logic, semantic layers, and data structures optimized for BI and Tableau performance.
• Collaborate with data engineering teams to ensure data quality, governance, and consistency acro