Senior Data Modeler (SQL Server | Pharma | AI)

Company Description

At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us!

Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs.  We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA.

Job Description

We are looking for an experienced Senior SQL Server Data Modeler with strong expertise in designing OLTP enterprise data models for pharmaceutical applications. This is not a Data Engineering or Reporting role.

The ideal candidate will work closely with Product and Business teams to understand business requirements, translate them into scalable data models, and collaborate with engineering teams to design robust application architectures.

In addition to strong data modeling expertise, the candidate should have hands-on experience building AI-powered enterprise solutions using RAG, Prompt Engineering, and AI Agents. Pharmaceutical domain experience is mandatory.

Key Responsibilities

• Collaborate with Product Managers and business stakeholders to gather and analyze requirements.
• Design conceptual, logical, and physical data models for enterprise OLTP applications.
• Create scalable SQL Server database architectures that support complex business workflows.
• Partner with engineering teams to translate data models into application design.
• Design data models for pharmaceutical pricing, market access, contracts, tenders, reference pricing, and related commercial processes.
• Ensure data integrity, normalization, performance, scalability, and maintainability across enterprise applications.
• Build AI-enabled enterprise solutions using:
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • AI Agents
  • Enterprise knowledge assistants
• Integrate LLMs with enterprise applications and structured SQL Server data.
• Design secure and scalable AI solutions that improve business productivity and decision-making.

Qualifications

Required Skills

SQL Server & Data Modeling

• SQL Server 2019/2022
• Advanced T-SQL
• Enterprise OLTP Data Modeling
• Conceptual, Logical & Physical Data Models
• ER Modeling
• Database Architecture Design
• Normalization & Referential Integrity
• Performance Optimization
• Domain-Driven Design

AI Technologies

• GPT/OpenAI or Azure OpenAI
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• AI Agents
• Vector Databases
• Semantic Search
• Enterprise AI Applications

Domain Expertise

Must have experience designing data models for pharmaceutical commercial applications, such as:

• Pricing & Market Access
• International Reference Pricing (IRP)
• Tender Management
• Contracts & Rebates
• Government Pricing
• Forecasting
• Compliance & Regulatory Pricing

Required Experience

• 8+ years of experience in SQL Server Data Modeling.
• Proven experience designing enterprise OLTP applications from business requirements.
• Experience working directly with Product Owners and Business stakeholders.
• Strong database architecture and application design skills.
• Hands-on experience building AI-powered enterprise solutions using RAG, Prompt Engineering, and AI Agents.
• Pharmaceutical industry experience is mandatory.

Nice to Have

• .NET Core
• Azure SQL
• Azure OpenAI
• Azure AI Search
• REST APIs
• Docker
• Kubernetes

Additional Information

OUR CULTURAL BELIEFS:

Patient Minded I act with the patient’s best interest in mind.
Client Delight I own every client experience and its impact on results.
Take Action I am empowered and empower others to act now.
Grow Talent I own my development and invest in the development of others. 
Win Together I passionately connect with anyone, anywhere, anytime to achieve results.
Communication Matters I speak up to create transparent, thoughtful and timely dialogue.
Embrace Diversity I create an environment of awareness and respect.
Always Innovate I am bold and creative in everything I do.

Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.

From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.

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