Director, Commercial Analytics and Forecasting

Intellia Therapeutics, Inc.Cambridge, MA
3d$225,000 - $275,000Hybrid

About The Position

Our mission is to develop curative genome editing treatments that can positively transform the lives of people living with severe and life-threatening diseases. Beyond our science, we live our four core values: One, Explore, Disrupt, Deliver and feel strongly that you can achieve more at Intellia. We have a single-minded determination to excel and succeed together. We believe in the power of curiosity and pushing boundaries. We welcome challenging thoughts and imagination to develop innovative solutions. And we know that patients are counting on us to make the promise a reality, so we must maintain high standards and get it done. We want all of our people to go beyond what is possible. We aren’t constrained by typical end rails, and we aren’t out to just “treat” people. We’re all in this for something more. We’re driven to cure and motivated for change. Just imagine the possibilities of what we can do together. How You Will Achieve More: The Director of Commercial Insights and Forecasting is responsible for defining and executing insights and analytics capabilities vital to Intellia’s commercial launch. Reporting to the Senior Director of Insights, Analytics, and Forecasting, this role shapes strategy, tracks performance, and partners with commercial teams to drive operational excellence. Responsibilities include delivering cross-portfolio insights, developing forecast models, and ensuring commercial analytics support for launch readiness and global commercial planning. The Director operates in a dynamic, matrixed environment, acting as both leader and contributor, and adapts as the organization moves toward commercialization.

Requirements

  • Results-driven self-starter with a strong sense of accountability, performance orientation, and the ability to collaborate effectively across functional teams
  • Track record of successfully supporting program teams with insight and analytics and forecast generation
  • Willingness and ability to adapt and pivot based on the business needs as the organization matures
  • Operate as an individual contributor while being an active member of a cross functional dynamic team
  • Displays a clear understanding of secondary data sources attributes (e.g. claims data), strengths and gaps to provide conclusions and recommendations
  • Strong strategic agility with the ability to analyze complex business issues, adapt to evolving market and competitive dynamics, and establish proper objectives
  • Proven ability to generate insights, interpret data, develop KPIs, and leverage advanced predictive analytical models to influencing across the commercial organization, and proactively communicating key insights and recommendations from an array of data points
  • Strong presentation skills with ability to distil and summarize information for presentation to Senior Leadership
  • Operates in a fast-paced, entrepreneurial, and collaborative environment; with strong interpersonal skills and ability to work positively with others
  • Exceptional skills in proactivity, planning, and project/meeting management
  • Organized and logical, with a high degree of flexibility to change direction when needed
  • Bachelor’s degree in a quantitative discipline required
  • 7-10 years of life science industry or relevant consulting experience
  • At least 5-7 years of direct experience in insights & analytics
  • Experience in cell/gene therapy, rare disease and/or cardiovascular
  • Commercial launch experience
  • Proven track record of successfully partnering cross functionally within a matrix environment
  • Experience working with a range of data sets – specialty pharmacy/patient-level deidentified data, IQVIA data, payer/claims data, large unstructured data sets (e.g., social and digital media data, secondary data sources), etc.
  • Proficiency with complex Excel modeling, and other advanced data manipulation/modeling tools
  • Experience in both primary and secondary market research approaches, techniques, and insight synthesis

Responsibilities

  • Strategic Collaboration: As a key stakeholder within the commercial organization, this is a pivotal cross-portfolio role in fostering collaboration and providing thought partnership across various teams. Assist in assessing commercial strategies and tactics to quantify ROI and make recommendations for optimizing existing and future resources. Additionally, the role contributes to the Global Commercial Plan by delivering comprehensive country opportunity assessments, which encompass profit and loss (P&L) forecasting and the evaluation of resourcing requirements.
  • Forecast Modeling and Long-Range Planning: Contribute to the commercial forecast model development, refinement, and scenario planning. This includes market-based models to forecast pipeline uptake and project market evolution for strategic and tactical business decisions.
  • Commercial Analytics Development: Contribute as an integral team member to build Intellia’s commercial analytics capabilities. Clearly identify and communicate insights, strategic business implications, and actionable recommendations.
  • Data Analysis: Extract, mine, and synthesize secondary data analyses to understand patient and customer journeys, therapy utilization, and the market landscape, thereby guiding strategic decisions.
  • Primary Research: Partner with commercial cross functional teams to develop, deploy, and communicate primary market research across external customers (HCPs, patients, accounts, etc.) to address key business questions.
  • Commercial Planning and Budgeting: Support the commercial planning and budgeting process by providing timely and thoughtful input into the tactical and budget plan for Commercial Insights, Analytics, and Forecasting.
  • Customer Segmentation and Resource Optimization: Partner with sales and operations teams to optimize customer segmentation, targeting, alignment, call planning, and resource allocation.
  • Systems and Data Operations: Collaborate with technology and data operations teams to ensure necessary systems are capturing and processing data to facilitate insight plans.
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