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What is it like to work at Tiger Analytics?

Tiger Analytics is a data science and analytics firm that values collaboration, innovation, and continuous learning, fostering a dynamic and supportive work environment.

The company has a flat organizational structure, allowing for open communication and cross-functional teamwork among its data scientists, engineers, and consultants. Tiger Analytics' mission is to drive business growth through data-driven insights, and its projects often involve working with cutting-edge technologies and methodologies.

Working at Tiger Analytics may appeal to candidates who are passionate about data science and analytics, as the company offers opportunities to work on diverse projects, develop new skills, and contribute to the growth of its clients, with a focus on delivering high-quality results and making a meaningful impact.

What makes Tiger Analytics an attractive place to work?

Tiger Analytics is a leading data science and analytics consulting firm that has established itself as a trusted partner for businesses seeking to drive growth and innovation through data-driven insights. The company fosters a collaborative and innovative work environment, where employees can engage in cutting-edge projects, develop new skills, and work with a diverse team of experts. By joining Tiger Analytics, professionals can gain valuable experience, contribute to impactful projects, and enjoy opportunities for growth and professional development in a dynamic and supportive organization.

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Infographic showing various Product Manager job openings at Tiger Analytics in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 70% Physical, and 30% Remote job distribution.

Sr. Manager / Associate Director - Commercial Data Product (Pharma/ Life science

Tiger Analytics Inc.

Toronto, ON • Remote

Full-time

Re-posted 6 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 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 has been recognized by various market research firms, including Forrester and Gartner.

We are seeking a Senior Manager / Associate Director with a strong Life Sciences background and hands-on commercial analytics experience to launch Commercial Data Product to support an upcoming pharma launch. This role will lead a small, dedicated pod to design and build a Snowflake-native, Power BI–aligned data product from the ground up. The position gives an opportunity to focus on data product ownership, metric design, and stakeholder alignment. The candidate should have strong experience and domain knowledge in gene therapy, with exposure to relevant processes, workflows, and industry applications.

Key Responsibilities

  • Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions
  • Own the end-to-end commercial data product for a kidney launch, from vision to execution.
  • Translate launch strategy into segmentation frameworks, KPIs, and data products used by commercial leadership.
  • Drive stakeholder alignment across Marketing, Sales, Market Access, and Analytics
  • Own and prioritize the product backlog, ensuring alignment with launch milestones. Partner with the engineering team to design Snowflake-native data models optimized for scalability and reuse.
  • Ensure strong Power BI semantic model understanding (measures, relationships, performance).
  • Enable self-service analytics through well-designed datasets—not dashboards alone.
  • Establish KPI governance, adoption tracking, and success metrics for the product.
  • Lead a small cross-functional pod (data engineers, analysts).
  • Operate in an agile delivery model with clear sprint outcomes and executive visibility.
  • Act as the primary interface between business stakeholders and the technical team.

Requirements

  • 12+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences.
  • strong experience and domain knowledge in gene therapy, with exposure to relevant processes, workflows, and industry applications.
  • Strong experience with pharma launches, including segmentation, performance tracking, and KPI design.
  • Hands-on understanding of Snowflake (data modeling, performance considerations).
  • Strong Power BI semantic layer knowledge along with visualization
  • Proven experience owning product backlogs and driving roadmap execution.
  • Ability to operate independently in greenfield / build-from-scratch environments.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging 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.