Senior Director of Commercial Operations, Insights and Analytics
Description
KEY RESPONSIBILITIES |
Business Insights and Analytics
Forecasting · Partner with Commercial Finance to develop, refine, and maintain robust forecasting models for demand, ex-factory units, and revenue, incorporating key inputs such as volume, pricing, discounts, and rebates. · Lead cross-functional forecasting processes with Sales and Market Access to ensure accurate inputs for both short-term forecasts and long-range planning. · Provide strategic guidance to commercial leadership on forecasting methodologies, assumptions, and analogs. · Support Business Development activities through forecasting, scenario modeling, and commercial assessments. Commercial Operations and Data Enablement · Own and evolve the CRM ecosystem to ensure accurate, actionable reporting on field activity, customer engagement, and promotional effectiveness at both regional and account levels. · Collaborate with CRM and analytics vendors to enhance system capabilities, improve user adoption, and deliver tools that increase field force effectiveness. · Lead the integration and management of key data sources (e.g., IQVIA, 867 data), ensuring data accuracy, consistency, and timely availability for commercial decision-making. · Oversee customer master data, segmentation, and targeting to optimize sales force deployment and focus. · Establish and govern standardized data definitions and reporting frameworks to ensure alignment and consistency across the organization. Incentive Compensation (IC)
· Own governance of the IC process, including management of IC Committee cadence, materials preparation, and approval processes for periodic payouts. People Management
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Role SCOPE |
People Manager within the HTU Commercial team. |
LOCATION EXPECTATIONS |
Based in HTU’s NJ headquarters with hybrid flexibility of 3 days per week on site. |
Work experience requirements |
Experience: · Minimum of 8 years of relevant experience in commercial analytics, data science, or management consulting. · Minimum of 4 years in the pharmaceutical industry, including knowledge of pharmaceutical data sets and forecasting models. · Proven track record in developing and implementing commercial operations deliverables, building data assets and extracting insights that inform and drive business strategy and outcomes. Skills: · Proficiency in analytical tools and software such as Snowflake, Tableau, or similar. · Strong experience with data visualization, data management, and analytical methodologies. · Experience with field force analytics, including customer segmentation, targeting, and promotional response measurements. · Strong knowledge of secondary data sources including syndicated sales, promotional & marketing data, longitudinal patient level data, payer data, and pharmacy / trade data · Experience with market research process and development of market insights · Experience with pharmaceutical forecasting models and processes · Experience with using and leveraging Artificial Intelligence (AI) capabilities to improve existing processes · Excellent communication and presentation skills, with the ability to convey complex information effectively to senior leaders and cross-functional teams. · Ability to work independently and collaboratively in a fast-paced environment. Salary: $220,000 - $250,000 |
Education requirements |
· Bachelor’s Degree required, with a concentration in statistics, economics, finance, or a related quantitative discipline. Advanced degree highly valued. |