Regeneron
SeniorManager-BusinessIntelligenceArchitect
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“Senior Manager - Business Intelligence Architect at Regeneron. Skills: Data architecture, Business intelligence, Data modeling, Analytics solutions. Act as point of contact for data architecture. Act as point of contact for BI initiatives”
Industry & Context.
Critical thinking; Complex data challenges
What They're Looking For.
Must Have
8+ years relevant experience, Bachelor's degree, Proficiency in SQL, Proficiency in Python or R, Experience designing data pipelines, Experience designing transformation workflows, Experience designing data products
Nice to Have
Master's degree preferred, Experience in pharmaceutical industry, Experience in biotech industry, Experience in regulated industries, Understanding of AI/ML data enablement, Understanding of advanced analytics
What You'll Do.
Act as point of contact for data architecture
Act as point of contact for BI initiatives
Lead design of analytical datasets
Lead development of analytical datasets
Lead design of data models
Lead development of data models
Lead design of data products
Lead development of data products
Provide technical leadership to BI team
Provide mentorship to BI team
Define data modeling standards
Implement data modeling standards
Define architecture principles
Implement architecture principles
Collaborate with reporting teams
Collaborate with analytics teams
Collaborate with business teams
Oversee data pipeline design
Oversee transformation workflows
Ensure scalability of solutions
Ensure maintainability of solutions
Ensure data consistency
Ensure data integrity
Support roadmap planning
Support roadmap execution
Serve as issue point for architectural decisions
Serve as issue point for trade-offs
Serve as issue point for data challenges
Identify opportunities for advanced analytics
Identify opportunities for AI/ML use cases
How You'll Work.
Team & Collaboration
Global teams; Regional teams; Cross-functional teams; Global collaborators; Downstream consumption
Communication Scope
Presentation; Collaboration
Process & Methodology
Roadmap planning, Roadmap execution
Full Job Description
Regeneron is founded on the belief that the right idea, combined with the right team, can lead to meaningful progress. Our growing global organization is dedicated to inventing, developing, and commercializing medicines that change lives for people with serious diseases. As we continue to expand our global footprint, our Global Capability Centers play a critical role in enabling scalable, high-quality operations and delivering impactful business services. **Role Overview** As a Senior Manager – Business Intelligence Architect, you will serve as a key liaison between global collaborators and the GCC, driving the design, development, and implementation of scalable data architecture and analytics solutions. You will play a critical leadership role in enabling high-quality, reusable data products and supporting enterprise analytics, reporting, and AI use cases. This role combines technical expertise, critical thinking, and people leadership to ensure robust data modeling practices, architecture standards, and seamless collaboration across cross-functional teams. **This position is office-based and will be on site at Regeneron’s Hyderabad office.** **A Typical Day May Include the Following:** * Act as a primary point of contact for data architecture and BI initiatives across global and regional teams. * Lead the design and development of analytical datasets, data models, and data products using platforms such as Databricks and Snowflake. * Provide technical leadership and mentorship to the BI architecture team, including performance management and capability development. * Define and implement data modeling standards, architecture principles, and protocols across the organization. * Collaborate with reporting, analytics, and business teams to ensure alignment between data models and downstream consumption. * Oversee data pipeline design, transformation workflows, and ensure scalability and maintainability of solutions. * Ensure data accuracy, consistency, and integrity t
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