Job Board

The Senior Manager, Portfolio Insights & Analytics will play a pivotal role in driving the strategic direction and performance of 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.

Portfolio Master Data Management:

• Oversee the maintenance and accuracy of portfolio master data.
• Ensure data integrity and consistency with portfolio data classification and definitions.
• Collaborate with cross-functional teams to update and validate data as needed.

Standard Portfolio Processes:

• Document, socialize, and continuously improve standard portfolio management processes.
• Identify opportunities to streamline workflows and enhance Portfolio Management systems.
• Ensure compliance with established processes and guidelines.
• Provide training and support to team members on portfolio management best practices.

Performance Monitoring and Reporting:

• Implement robust performance monitoring and evaluation mechanisms to analyze portfolio performance and identify risks, trends, opportunities, and trade-offs.
• Define and measure key performance indicators (KPIs) aligned with strategic objectives to assess portfolio progression and value contribution.
• Lead generation of standard PRISM Portfolio Executive Reporting materials on a monthly basis.
• Develop dashboards and visualizations to communicate portfolio and decision insights effectively to key stakeholders and senior leadership.

Portfolio Tool System Admin:

• Become a Super User of Advanced Portfolio Analytics Tool (Planview Advisor).
• Act as primary liaison between I&T, Vendor, and Users to help troubleshoot, understand user requirements, and determine technical solutions/enhancements.

Decision Analysis & Workshop Support:

• Provide analytical and tactical support for Decision Analysis workshops, including preparation, in-session support, and post-workshop analysis and modeling.
• Support structured decision-making for selected program and project-level decisions, including scenario, basic modeling, and sensitivity analyses to evaluate strategic options and uncertainty.
• Support development of analytical summaries and documentation of key assumptions and decision rationale for governance discussions.

• Bachelor's degree in Business, Life Sciences, Data, or related discipline (required); Advanced degree such as MBA or equivalent business qualification (preferred).
• 7+ years of experience in R&D portfolio management, business analytics, data science, or related field.
• Experience working in a global biotech organization with 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, and visualization tools (e.g. Power BI, Tableau, Qlik).

• 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.

• Work Model: Hybrid (minimum 3 days/week in office)
• Environment: Fast-paced, global, matrixed organization requiring coordination with stakeholders across time zones and geographies.
• Stakeholder Engagement: Manage relationships with senior leaders across R&D, Commercial Development, Finance, and Business Development.
• Travel: Minimum travel for internal meetings, as required.