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

📋 Description

• • As a Manager/Senior Manager for Commercial Data Product at Tiger Analytics, you will be at the forefront of enabling a groundbreaking pharmaceutical launch by architecting and delivering a sophisticated, Snowflake-native data product. This pivotal role is designed for a seasoned professional with a deep understanding of the Life Sciences sector and a proven track record in commercial analytics and data product management. You will lead a dedicated, cross-functional pod, guiding them from the initial vision and design through to the successful execution and ongoing optimization of a critical data asset.
• • Your primary responsibility will be to own the end-to-end commercial data product for an upcoming kidney launch. This involves translating the overarching launch strategy into actionable segmentation frameworks, defining key performance indicators (KPIs) that will drive commercial success, and building robust data products that empower commercial leadership with actionable insights. You will be the central figure in ensuring that the data product directly supports and accelerates the launch objectives.
• • A significant aspect of this role is driving alignment and fostering collaboration across diverse stakeholder groups. You will work closely with Marketing, Sales, Market Access, and Analytics teams to ensure a unified understanding of the data product's capabilities and its strategic importance. This cross-functional collaboration is essential for gathering comprehensive business requirements and ensuring the data product meets the multifaceted needs of the commercial organization.
• • You will take ownership of the product backlog, meticulously prioritizing features and enhancements to align with critical launch milestones. This proactive approach ensures that the development roadmap is tightly integrated with the commercial timeline, maximizing the impact of the data product at each stage of the launch.
• • Partnering closely with the engineering team, you will play a key role in designing Snowflake-native data models. The focus will be on creating solutions that are not only optimized for performance and scalability but also designed for maximum reusability across various analytical needs within the organization. Your input will be crucial in shaping the technical architecture to support long-term growth and adaptability.
• • A strong understanding of Power BI semantic layer principles is essential. You will ensure that the data product is structured to facilitate the creation of effective Power BI reports and dashboards, with a keen eye on measures, relationships, and overall performance. The goal is to enable self-service analytics, empowering users to derive insights independently rather than relying solely on pre-built dashboards.
• • You will be instrumental in establishing robust KPI governance frameworks, implementing mechanisms for tracking product adoption, and defining clear success metrics. This ensures that the data product's performance and impact can be rigorously measured and continuously improved.
• • Leading a small, agile, cross-functional pod comprising data engineers and analysts, you will foster a collaborative and high-performing team environment. You will guide the team through an agile delivery model, ensuring clear sprint outcomes, regular executive visibility, and a focus on delivering tangible business value.
• • This role demands a strategic thinker who can act as the primary interface between business stakeholders and the technical development team. You will translate complex business needs into technical specifications and ensure that the technical solutions effectively address the business challenges. Your ability to bridge this gap will be critical to the success of the data product and the overall launch.
• • This is a unique opportunity to shape a data product from its inception, influencing its direction and impact within a dynamic and rapidly evolving pharmaceutical landscape. You will contribute directly to the success of a major product launch, leveraging your expertise in data, analytics, and product management to drive significant business value.