经理 / 高级经理 - 商业数据产品 (医药/生命科学)
Manager / Sr. Manager - Commercial Data Product (Pharma/ Life sciences)
Tiger Analytics 是一家先进的分析咨询公司。我们是多家财富 1000 强公司的可信赖分析合作伙伴，帮助他们从数据中创造商业价值。我们的顾问在数据科学、机器学习和人工智能领域拥有深厚的专业知识。我们的商业价值和领导力已获得多家市场研究机构的认可，包括 Forrester 和 Gartner。
我们正在寻找一位在生命科学和商业制药分析方面有深厚经验的数据与分析专业人士，负责为全球制药客户制定战略分析计划。该职位将作为业务利益相关者和技术团队之间的桥梁，推动可扩展的商业分析解决方案的设计与实施，从而在销售、市场、市场准入、患者服务和商业运营中实现数据驱动的决策。理想的候选人应具备扎实的制药领域专业知识，同时有管理分析产品的经验，能够定义关键绩效指标（KPI），将业务需求转化为数据解决方案，并带领跨职能团队。
关键职责
- 与生命科学领域的利益相关者合作，理解业务需求并将其转化为分析解决方案
- 将上市策略转化为细分框架、关键绩效指标（KPI）和商业领导层使用的数据产品
- 在市场、销售、市场准入和分析领域推动利益相关者达成一致
- 管理并优先处理产品待办事项，确保与上市里程碑保持一致。与工程团队合作设计基于 Snowflake 的数据模型，优化可扩展性和复用性
- 确保对 Power BI 语义模型有深入理解（包括度量、关系和性能）
- 通过设计良好的数据集实现自助式分析——不仅仅是仪表盘
- 建立 KPI 治理、采用跟踪和产品成功指标
- 领导一个小型跨职能小组（数据工程师、分析师）
- 在敏捷交付模式中运作，明确每个冲刺的成果并提供高管可见性
- 作为业务利益相关者和技术团队的主要接口
要求
- 在制药/生命科学行业的商业分析、数据产品管理或分析咨询领域有 15 年以上经验
- 对商业制药职能有深入了解，包括销售、市场、市场准入、患者服务、全渠道参与和上市卓越
- 有使用行业标准数据源的经验
查看英文原文
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.
Requirements
- 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.
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.
Originally posted on Himalayas