Regeneron

SeniorManager-BusinessIntelligenceArchitect

₹35–55L ~AI est. Hyderabad, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“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.

Problems you'll solve

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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