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Director, Oncology Business Insights – Analytics

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
  • Develop and communicate data-driven and actionable insights that drive greater customer and market understanding to inform launch & go-to market strategies and help meet in-line commercial objectives.
  • Interface and collaborate with many teams, requiring strong communication skills.
  • Lead an insight team consisting of functional teams across market research, data strategy, forecasting, resource effectiveness, measurement, marketing/sales operations, digital analytics, competitive insights and strategy.
  • Develop the next generation of leaders within DHH (Digital Human Health).
Requirements
  • Minimum of 7+ years of marketing insights and strategy support and expertise in delivering complex analytical projects in the pharmaceutical/biotech industry using brand analytics, market research and/or large patient or physician databases for US Experience and/or deep knowledge in oncology
  • Minimum 3+ years in leading commercial insights teams
  • Knowledge in mining patient medical claims/EMR data with a strategic mindset and proven record of being able to produce actionable business insights that drive positive commercial results.
  • Self-motivated, proactive mindset, and ability to work independently.
  • Story-telling and executive presence with senior leaders.
  • Effective interpersonal skills, communication skills, and stakeholder management, including experience collaborating in a matrixed organization and ability to align stakeholders on data-driven decisions.
  • Strong business acumen and consultative skills, with proven ability to comprehend business processes and commercial strategies in detail and translate these into detailed business standards/questions that power analytics.
  • Effective organizational and project management skills to work effectively across the organization and manage a team of business analysts and data scientists efficiently and effectively.
  • Innovative thinking with affinity toward experimentation and appropriate risk-taking, including curiosity about how agentic AI and automation can enhance commercial analytics and insight generation.
  • Awareness of the opportunities, limitations, and responsible use of AI (including agentic AI) in a regulated environment (e.g., data privacy, validation of AI-generated outputs).
  • Prior hands-on experience working with healthcare data especially EMR/EHR, Claims Data (i.e. IQVIA APLD) and various data offerings.
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