Manager / Sr. Manager - Commercial Data Product (Pharma/ Life sciences)

Tiger Analytics, LLC; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

Tiger Analytics, LLC is looking for a Data and Analytics professional in Toronto, Canada. This role involves leading strategic analytics initiatives for global pharmaceutical clients, acting as a bridge between business stakeholders and technical teams.

The ideal candidate should have at least 15 years of experience in commercial analytics and strong technical expertise in SQL and BI tools like Power BI. This is a fantastic opportunity for significant career growth in a challenging environment.

Qualifications

• 15+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences.
• Strong understanding of commercial pharmaceutical functions including Sales and Marketing.
• Proven experience owning product backlogs and driving roadmap execution.

Responsibilities

• Partner with stakeholders to understand business requirements.
• Drive stakeholder alignment across analytics and commercial teams.
• Lead a cross-functional pod including data engineers and analysts.

Skills

Commercial analytics

Data product management

SQL

Power BI

Agile delivery methodologies

Tools

Snowflake

Databricks

AWS

Azure

GCP

Tableau

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 Data and Analytics professional with deep Life Sciences and Commercial Pharma Analytics experience to lead strategic analytics initiatives for global pharmaceutical clients. This individual will serve as a bridge between business stakeholders and technical teams, driving the design and implementation of scalable commercial analytics solutions that enable data-driven decision-making across Sales, Marketing, Market Access, Patient Services, and Commercial Operations. The ideal candidate combines strong pharmaceutical domain expertise with experience managing analytics products, defining KPIs, translating business requirements into data solutions, and leading cross-functional teams.

Key Responsibilities

• Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions
• 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.

Qualifications

• 15+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences.
• Strong understanding of commercial pharmaceutical functions, including Sales, Marketing, Market Access, Patient Services, Omnichannel Engagement, and Launch Excellence.
• Experience working with industry-standard datasets such as IQVIA, Symphony Health, Komodo, MMIT, Veeva, Claims, Specialty Pharmacy, Hub, and Patient-level data.
• Experience supporting commercial analytics, field force effectiveness, customer targeting, segmentation, omnichannel measurement, forecasting, patient journey analytics, or launch readiness programs.
• Strong technical expertise in SQL, cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP), and BI tools such as Power BI and Tableau, with experience working in enterprise-scale analytics environments.
• Solid understanding of data product development, including data modelling, semantic layer design, KPI frameworks, and Agile delivery methodologies, with the ability to translate business requirements into scalable analytics solutions
• Proven experience owning product backlogs and driving roadmap execution.
• Ability to operate independently in greenfield / build-from-scratch environments.

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.