Senior Manager – Associate Director, Analytics Consulting – Commercial Pharma

This is a fully remote position, open to applicants in Canada.

📋 Description

• Collaborate with Life Sciences stakeholders to comprehend business needs and convert them into analytical solutions.

• Transform launch strategies into segmentation frameworks, KPIs, and data products utilized by commercial leadership.

• Foster stakeholder alignment across Marketing, Sales, Market Access, and Analytics.

• Manage and prioritize the product backlog to ensure alignment with launch milestones. Work alongside the engineering team to create Snowflake-native data models that are optimized for scalability and reuse.

• Maintain a strong understanding of the Power BI semantic model (measures, relationships, performance).

• Promote self-service analytics through well-structured datasets—not solely dashboards.

• Establish governance for KPIs, track adoption, and define success metrics for the product.

• Lead a small cross-functional team that includes data engineers and analysts.

• Function within an agile delivery model that ensures clear sprint outcomes and visibility for executives.

• Serve as the primary liaison between business stakeholders and the technical team.

⛳️ Requirements

• Over 15 years of experience in commercial analytics, data product management, or analytics consulting within the pharma/life sciences sector.

• Comprehensive understanding of commercial pharmaceutical functions, encompassing Sales, Marketing, Market Access, Patient Services, Omnichannel Engagement, and Launch Excellence.

• Proven experience with industry-standard datasets such as IQVIA, Symphony Health, Komodo, MMIT, Veeva, Claims, Specialty Pharmacy, Hub, and Patient-level data.

• Background in supporting commercial analytics, field force effectiveness, customer targeting, segmentation, omnichannel measurement, forecasting, patient journey analytics, or launch readiness initiatives.

• Strong technical proficiency in SQL, cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP), and BI tools such as Power BI and Tableau, with experience in enterprise-scale analytics settings.

• Robust understanding of data product development, including data modeling, semantic layer design, KPI frameworks, and Agile delivery methodologies, capable of translating business requirements into scalable analytics solutions.

• Demonstrated experience in owning product backlogs and executing roadmaps.

• Ability to work independently in greenfield or build-from-scratch environments.

🏝️ Benefits

• This role presents an outstanding opportunity for substantial career advancement in a rapidly growing and demanding entrepreneurial setting with a high level of individual accountability.

• ***Tiger Analytics is committed to providing 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 protected by federal, state, or local law.***