Job Description
Description
KEY RESPONSIBILITIES
Business Insights and Analytics
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.
Experience
Work experience requirements
Education requirements
KEY RESPONSIBILITIES
Business Insights and Analytics
- Serve as the strategic insights lead for Helsinn Therapeutics U.S., proactively identifying trends, risks, and opportunities to inform business strategy and drive growth.
- Deliver high-impact analytics and insights to support business reviews, executive leadership discussions, and Board presentations.
- Design and maintain dashboards, KPIs, and reporting tools that provide visibility into sales performance, brand health, and commercial effectiveness.
- Analyze and synthesize complex biopharma datasets to generate actionable insights that inform sales, marketing, and customer engagement strategies.
- Assess how (and which) AI assets should be utilized to deliver enhanced analytics& insights; scope and execute plan to incorporate AI assets into workflows to improve speed of execution and efficiency
- Partner cross-functionally to design and execute market research (quantitative and qualitative) to support brand strategy, lifecycle management, and business development initiatives.
- 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.
- 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.
- Lead the design, implementation, and continuous evolution of Incentive Compensation (IC) programs for Sales and Market Access teams to align with strategic business objectives and drive performance.
- Partner with HR, Finance, and external vendors to ensure accurate and timely IC calculations, performance tracking, and reporting.
- Own governance of the IC process, including management of IC Committee cadence, materials preparation, and approval processes for periodic payouts.
- Lead and develop a high-performing analytics function, including direct management of the Manager, Data Information & Analytics.
- Foster a culture of data-driven decision-making, accountability, and continuous improvement within the team and across the broader organization.
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.
Experience
Work experience requirements
- 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.
- 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.
Education requirements
- Bachelor’s Degree required, with a concentration in statistics, economics, finance, or a related quantitative discipline. Advanced degree highly valued.
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