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

Tiger Analytics

This Director role involves leading a small pod to build a Snowflake-native data product for a pharmaceutical launch. You will bridge the gap between life sciences stakeholders and technical teams.

What you’d own

  • End-to-end commercial data product for a kidney launch
  • Snowflake-native data models and Power BI semantic layers
  • Product backlog, roadmap execution, and KPI governance
  • Translation of launch strategy into segmentation frameworks

Who it’s for

A fit if you…

  • ✓12+ years in pharma/life sciences commercial analytics
  • ✓Deep domain knowledge in gene therapy workflows
  • ✓Experience building products from scratch in greenfield environments
  • ✓Technical proficiency in Snowflake and Power BI semantic models

Not for you if…

  • ✗You prefer established products over 'build-from-scratch' projects
  • ✗You prefer pure product management without technical data modeling requirements
  • ✗You prefer large teams rather than leading a small, dedicated pod

Reading between the lines

  • The mention of 'greenfield' and 'building from the ground up' implies high initial ambiguity and heavy lifting in the early stages.
  • Requirement for both Snowflake modeling and Power BI semantic layers suggests you will be deeply involved in technical architecture, not just high-level strategy.

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Full 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.

About Tiger Analytics

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Tiger Analytics is a data and AI consulting firm that helps large enterprises solve analytics problems, from data engineering and cloud modernization on Microsoft Fabric, Azure and Databricks to machine learning and generative AI. Clients span insurance, supply chain, retail and energy, and analysts like ISG have named it a leader in several specialty categories. It has over 7,000 technologists and consultants across North America, Europe and Asia-Pacific, and press coverage describes it as nearing 1 billion dollars in revenue with IPO ambitions. Certified as a Great Place to Work, it hires for some remote roles.

Data & AnalyticsAI & Machine Learning

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