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

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
• Data 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

• 12-16 years of professional work experience with at least 8 years in data analytics
• Solid understanding of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams
• Fluency and extensive working experience with various pharmaceutical 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
• Graduate in Business Analytics or MBA or equivalent work experience

Benefits

• Significant career development opportunities
• Part of a small, fast-growing, challenging and entrepreneurial environment
• 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