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

Toronto, ON
Hybrid
Posted Aug 14, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Lead · 10+ years
Minimum education: Master’s degree
Posting language: English
Working hours: 40 hours per week
Location requirements: Country, Canada

Job summary

Lead the application of advanced data science and analytics strategies to solve complex business problems within the pharmaceutical and life sciences sector. Oversee the design and delivery of BI products and data architectures while engaging directly with senior client stakeholders to drive strategic initiatives.

Job details

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 looking for highly experienced and strategic leader to drive Commercial Data and Analytics initiatives. 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. 12-16 years of professional work experience with at least 8 years in data analytics Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach 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 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.

What you’ll do

Requirements

Requires 12-16 years of professional experience with at least 8 years specifically in data analytics and a strong background in pharmaceutical data sources. Candidates must possess excellent project management skills and the ability to translate high-level business problems into actionable analytics solutions for executive stakeholders.