Associate Director/Director- Tech Consulting (Pharma/Lifesciences)

Tiger Analytics; Jersey City (NJ); On-site; USD 170,000 - 260,000; Full time

Job summary

Tiger Analytics is seeking an experienced life sciences data architect to own the end-to-end design and build of data architecture and data products for therapeutic areas. You will lead an AI-ready analytics ecosystem and drive business solutions at the intersection of data and complex processes.

The role requires strong Life Sciences domain background, expertise in data products and pharma data sources, and MBA or equivalent work experience.

Qualifications

• 10–15 years of relevant experience.
• Strong Life Sciences domain background in Commercial Sales & Marketing.
• Deep expertise in Data Products and Data Analytics, including Pharma Data Sources.
• MBA or equivalent work experience.

Responsibilities

• Architect end-to-end data architecture and data products tailored to therapeutic areas.
• Lead the development of AI-ready analytics ecosystem and MVPs.
• Drive solutions at the intersection of data and complex processes.
• Expand client relationships and identify new adjacencies.
• Oversee delivery for onsite and offshore teams.

Skills

AI fluency

Leadership

Life Sciences domain knowledge

Data Analytics

Education

MBA or equivalent

Tools

Vibe Coding

Vibe Engineering

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking an experienced and AI-fluent, seasoned life sciences professional to take end-to-end ownership of designing and building data architecture and data products for our client. In this role, you will lead the development of an AI-ready data analytics ecosystem, drive business solutions at the intersection of data and complex processes, and play a critical role in expanding our footprint by cultivating strong client relationships and identifying new adjacencies.

RESPONSIBILITIES:

• Architectural Leadership:Lead the end-to-end design and implementation of data architecture and innovative data products tailored to therapeutic areas.
• AI & Engineering Innovation:Leverage AI fluency and advanced engineering tools to build "Art of the Possible" MVPs that solve critical business problems.
• Solution Delivery:Utilize "Vibe Coding" and Vibe Engineering tools to streamline development and analytics.
• Business Partnership:Act as a strategic partner to stakeholders within Life Sciences Commercial Sales & Marketing.
• Relationship Management:Manage and expand client relationships, identifying business opportunities to grow the account.
• Team Leadership:Oversee delivery for a significantly large team spanning both onsite and offshore resources.

• 10–15 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. including: Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy data and Payer Formulary (MMIT) data.
• Proven experience across one or more of the following: Oncology, Vaccines, Infectious Diseases, Cardiometabolic and Respiratory Diseases, Immunology, Neuroscience, and Ophthalmology.
• Graduate in Business Analytics or MBA or equivalent work experience.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.