The Senior Manager, Portfolio Insights & Analytics, will play a pivotal role in driving the strategic direction and performance of our portfolio management processes in support of R&D. Working closely with the Director, Portfolio Insights & Analytics and the Director, Portfolio Decision Strategy, this position is responsible for overseeing portfolio master data, ensuring adherence to standard portfolio processes, and delivering comprehensive performance reporting. In addition, this position provides hands-on decision analysis capabilities, with an explicit opportunity to build decision analysis skills over time. The ideal candidate will possess strong analytical skills, a keen eye for detail, and the ability to translate complex data into actionable insights.
Portfolio Master Data Management:
Standard Portfolio Processes:
Performance Monitoring and Reporting:
Portfolio Tool System Admin:
Decision Analysis & Workshop Support:
Support development of analytical summaries and documentation of key assumptions and decision rationale for governance discussions
Education and Experience:
Bachelor's degree in Business, Life Sciences, Data or related discipline (required); Advanced degree such as MBA or equivalent business qualification (preferred).
Experience (7+ years) in R&D portfolio management, business analytics, data science, or related field
Experience working in a global biotech organization / understanding of drug development lifecycle and commercialization process (required), global pharmaceutical market and competitive dynamics (strongly preferred)
Demonstrated problem-solving skills including problem definition, hypothesis generation/ testing and solution proposition.
Knowledge and experience in portfolio management software and affinity for leveraging new technology, automation, visualization tools and techniques (e.g. Power BI, Tableu, Qlik)
Competencies:
Effective collaboration and communication skills, with the ability to work productively within cross-functional teams and support collective goals.
Proven experience in managing large datasets and ensuring data quality.
Experience synthesizing quantitative and qualitative information into clear insights
Curiosity and learning orientation, with interest in building decision analysis capabilities over time
Strong analytical and problem-solving skills, including experience in forecasting, scenario planning, and modeling.
Working Environment:
Hybrid (minimum 3 days/week in office)
Operate in a fast-paced, global, matrixed environment requiring coordination with stakeholders across time zones and geographies
Manage relationships and interactions with senior leaders across R&D, Commercial Development, Finance, and Business Development
Travel Expectations: Minimum travel for internal meetings, as required.