Associate Director/Director- Tech Consulting (Pharma/Lifesciences)
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.
- 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.
Benefits
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.
Skills
As published by workable · 7 questions · 6 written answers
Basics
First name, Last name, Email, Headline, Phone, Photo, Resume
Pick from a list (1)
- Do you have a valid work authorization in the US?
Written answers (6)
- Will you require Tiger Analytics to sponsor you for work authorization now or in the future?
- Do you have experience in the Pharmaceutical or Life Sciences industry? If yes, how many years?
- Have you worked on pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc? If yes, please give details.
- Have you managed teams across timezones? Do you have experience of on-shore off-shore model?
- Please share a link to your LinkedIn profile (if available)
- Any additional information you want to share (if not, please write n/a)