Associate Director, Portfolio Consolidation

Summary

The Associate Director will provide strategic and analytical support for global and US commercialization portfolio planning. This role will focus on long-term financial planning (LTFP) consolidation, risk and opportunity management, and governance processes. The position partners closely with cross-functional teams to deliver accurate forecasts, scenario analyses, and executive-ready materials that inform strategic decision-making. This position is ideal for a seasoned forecasting professional who combines analytical strength, structured thinking, and the ability to influence cross-functional alignment while guiding more junior team members in capability development.

Responsibilities

Portfolio Consolidation & Reporting

• Consolidate brand- and therapeutic-area-level forecasts, actuals, and financial outputs into a single, enterprise-level portfolio view for short-term (1- and 3-year) and long-range (10-year) planning cycles
• Maintain the portfolio consolidation model/database, ensuring data integrity, version control, and traceability across contributing brand teams
• Prepare portfolio-level summaries, variance analyses, and executive-ready materials that translate brand-level detail into a coherent enterprise narrative
• Support production of recurring portfolio deliverables (e.g., monthly/quarterly outlook updates, planning cycle submissions, ad hoc leadership requests)

Analytics, Scenario & Variance Support

• Support portfolio-level scenario planning, sensitivity analysis, and risk/opportunity assessments across multiple brands and markets
• Analyze variances between forecast and actuals at the brand and portfolio level, identifying key drivers and flagging risks and opportunities
• Partner with Finance, MAx, and brand forecasting teams to ensure consistent assumptions, definitions, and methodologies feed into the consolidated portfolio
• Contribute to the ongoing evolution of AI-enabled forecasting and consolidation tools, ensuring outputs remain transparent and auditable

Cross-Functional Alignment & Stakeholder Management

• Serve as a day-to-day point of contact for brand and therapeutic-area forecasting leads contributing inputs to the consolidated portfolio
• Collaborate with Finance, Commercial Operations, Market Access, and Drug Development to align on data feeds, timing, and reporting requirements
• Represent Portfolio Consolidation in cross-functional forums, presenting portfolio-level assumptions, risks, and scenario implications
• Escalate data quality, timing, or alignment issues to relevant stakeholders in a timely manner

Process, Tools & Governance

• Maintain and strengthen documentation, templates, and workflows supporting the portfolio consolidation process to increase efficiency, transparency, and audit-readiness
• Identify and help implement process improvements and automation opportunities to reduce manual effort and improve turnaround time
• Uphold compliance with enterprise model-risk, data governance, and documentation standards
• Manage the bi-annual LTFP calendar, coordinating deliverable timelines across contributing teams

Leadership & Capability Building

• Mentor and guide analysts and senior analysts, helping strengthen their forecasting skills, business acumen, and structured problem-solving
• Provide thought leadership within the forecasting community, contributing to capability-building initiatives
• Model intellectual curiosity, structured thinking, enterprise mindset, and effective communication
• Help shape a culture of collaboration, inclusion, transparency, and innovation

Qualifications

• Minimum 5+ years of experience in pharmaceutical forecasting, commercial analytics, or related quantitative fields
• Bachelor's degree required; Master's degree preferred
• Demonstrated expertise in forecasting methodologies, scenario design, patient flow modeling, and use of pharmaceutical secondary data (e.g., IQVIA, Symphony)
• Experience using Python or comparable analytical programming languages to support model development, calibration, or advanced analytics (preferred)
• Proven ability to develop or oversee AI-enabled, algorithmic, or advanced Excel-based forecast models
• Strong ability to synthesize complex quantitative information into concise, strategic insights for senior leadership
• Excellent communication and data-storytelling skills; able to influence cross-functional partners and senior stakeholders
• Experience leading cross-functional processes, navigating ambiguity, and managing complex deliverables in fast-moving environments
• Consistent demonstration of rigorous quality control, model validation discipline, and methodological transparency
• Curiosity, adaptability, and passion for advancing AI-first forecasting capabilities across teams