Associate Director/Director- Tech Consulting (Pharma/Lifesciences)
- Compensation
- Not disclosed
- Location
- Jersey City, New Jersey, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Not specified
- Posted
Skills
Must have
- 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., V
- 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.
Full 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:
- Data Analytics & Strategy: Lead the application of the latest data science techniques and advanced analytics approaches to solve complex business problems in the Pharma and Life Science domain.
- Stakeholder & Solution Design: Work directly with client stakeholders to translate high-level business problems into detailed, high-level analytics solution designs.
- Leadership & Execution: Lead strategic efforts in omni-channel analytics, helping the business optimize its marketing, sales, and digital engagements across various touch points in the commercial pharmaceutical sector.
- Business Intelligence (BI) & Analytics: Lead the design and delivery of advanced analytical and Business Intelligence (BI) products, focusing on metrics design, reporting, and leveraging data best practices to drive informative decisions.
- Data Management & Engineering (DE): Oversee and guide data architectures, ensuring a strong emphasis on data quality, data integrity, and compliance with commercial data management frameworks.
- Commercial Expertise: Apply extensive experience in core commercial pharma areas such as omni-channel strategy, customer journey mapping, and marketing effectiveness.
- Client Engagement: Serve as a key analytics consulting leader, working closely with senior client stakeholders to understand business requirements, design solutions, and drive cross-functional collaboration.
Requirements
- 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.