Director, ATTR Insights, Analytics, and Forecasting

Role Summary

Director, ATTR Insights, Analytics, and Forecasting. Responsible for generating and executing insights, analytics and forecasting to support ATTR commercialization and go-to-market planning, partnering across commercial operations, sales, market access, supply, finance, marketing and program teams.

Responsibilities

• Act as a key stakeholder for the ATTR cross-functional program team, ensuring a single source of truth to drive strategic planning decisions
• Represent the Commercial Insights, Analytics and Forecasting function with the cross-functional ATTR program team and collaborate across the Commercial Operations function
• Lead development and execution of an insights generation plan to support ATTR Global Commercial Planning using best practices and capabilities
• Support country-level business case assessments to evaluate and prioritize geographic expansion opportunities
• Collaborate and leverage established forecasting capabilities and best practices
• Design and execute primary market research addressing key questions for ATTR market opportunity and launch planning
• Develop and refine ATTR commercial forecast models, including market-based models to forecast pipeline uptake and market evolution of competitive products
• Support scenario planning by modeling the impact of internal and external factors; maintain forecast models with latest information and documentation
• Partner with supply chain to support SOP processes for manufacturing and inventory management
• Integrate ATTR insights using predictive models from diverse data sources to provide actionable insights, opportunities, risks, and strategic assessments
• Mine and synthesize secondary data to understand patient/customer journeys, therapy utilization and market landscape
• Monitor and communicate ATTR market, environmental and competitive activity to provide proactive analysis of impact
• Collaborate with Sales and Operations to optimize customer segmentation, targeting, call planning and resource allocation
• Work with technology and operations teams to ensure systems capture and process necessary data for analytics
• Contribute to Commercial planning and budgeting with timely input into the I&A and forecasting plan
• Be an active member of the Commercial Insights, Analytics and Forecasting team and support across the portfolio as the organization matures toward first commercial product launch

Qualifications

• Willingness and ability to adapt and pivot based on business needs
• Ability to operate as an individual contributor within a cross-functional team
• Results-driven self-starter with accountability and collaboration skills
• Track record in forecasting, analytics and insight generation for program teams
• Understanding of secondary data sources attributes, strengths and gaps
• Strong strategic agility to analyze complex issues and adapt to market dynamics
• Ability to generate insights, interpret data, develop KPIs and leverage predictive models to influence across the organization
• Strong presentation skills and ability to summarize information for Senior Leadership
• Comfort in a fast-paced, entrepreneurial, collaborative environment; strong interpersonal skills
• Proactive planning and project/meeting management abilities
• Organized and flexible with changing direction
• BA/BS in a quantitative field
• 7-10 years of life science industry or relevant consulting experience
• At least 5-7 years of direct forecasting and insights experience
• Experience in cell/gene therapy, rare disease and/or cardiovascular areas
• Commercial launch experience
• Proven cross-functional partnering in a matrix environment
• Knowledge of pharmaceutical primary and secondary data sources, including claims data
• Experience building advanced analytical techniques to inform strategic business issues and successful product launches
• Experience in data visualization and analytics solutions in patient analytics and AI scope

Skills

• Data analysis and forecasting
• Market research design and execution
• Strategic planning and scenario modeling
• Cross-functional collaboration
• Data visualization and storytelling
• Advanced analytics and predictive modeling

Education

• BA/BS in a quantitative field