Senior Manager – Associate Director, Commercial Data Product – Pharma, Life Science

🕒 May 27

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 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.***