AI-Driven Life Sciences Data Architect & Leader

New England Air Systems, LLC; Jersey City (NJ); On-site; USD 180,000 - 230,000; Full time

Job summary

Tiger Analytics is an advanced analytics consulting firm seeking an experienced, AI-fluent life sciences professional to own end-to-end data architecture and product development for clients. You will lead an AI-ready analytics ecosystem, drive business solutions at the data-process intersection, and cultivate strong client relationships to expand the footprint.

The role requires 8–12 years of relevant experience with deep Life Sciences domain expertise in Commercial Sales & Marketing, and

Qualifications

• 8-12 years of relevant experience.
• Strong Life Sciences domain background, specifically in Commercial Sales & Marketing.
• Deep expertise in Data Products and Data Analytics, including fluency with Pharma Data Sources like IQVIA Xponent, Plantrak, LAAD, PE; Execution data (Veeva CRM); Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, Komodo; Specialty Pharmacy data and Payer Formulary data.

Responsibilities

• Architectural Leadership: Lead end-to-end design and implementation of data architecture and data products for therapeutic areas.
• AI & Engineering Innovation: Build AI-ready MVPs using advanced tools to solve key business problems.
• Solution Delivery: Use Vibe Coding and Vibe Engineering tools to streamline development and analytics.
• Business Partnership: Partner with Life Sciences Commercial Sales & Marketing stakeholders.
• Relationship Management: Expand client relationships and uncover new opportunities to grow accounts.
• Team Leadership: Oversee delivery for a large team onsite and offshore.

Skills

Data architecture

Data analytics

AI fluency

Leadership

Client relationship

Education

MBA

Tools

Vibe Coding

Vibe Engineering

Job description

Tiger Analytics is an advanced analytics consulting firm seeking an experienced, AI-fluent life sciences professional to own end-to-end data architecture and product development for clients. You will lead an AI-ready analytics ecosystem, drive business solutions at the data-process intersection, and cultivate strong client relationships to expand the footprint.

The role requires 8–12 years of relevant experience with deep Life Sciences domain expertise in Commercial Sales & Marketing, and