Pharma Data & Analytics Strategy Leader

IQVIA

Doylestown (Bucks County)

On-site

USD 111,000 - 349,000

Full time

5 days ago
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Job summary

IQVIA is seeking a senior strategist to own market strategy and client engagement for pharma data and analytics services across Commercial, R&D, and Medical Affairs. The role combines pharma domain expertise, consulting leadership, and business development to drive revenue growth and shape offerings.

You will partner with delivery teams to ensure successful outcomes, influence AI/ML investments, and develop roadmap visions for enterprise data initiatives.

Qualifications

  • 10+ years in healthcare/pharma data and analytics with 5+ years in consulting or client-facing roles.
  • Proven track record driving GTM strategies and leading large-scale data programs for global pharma clients.
  • Expertise in AI/ML, NLP, predictive modeling and pharma data ecosystems.
  • Strong business development skills with revenue growth and client acquisition experience.
  • Exceptional executive presence to influence senior stakeholders.

Responsibilities

  • Define and execute GTM strategy for pharma data and analytics services.
  • Lead proposal development, solution shaping, and pricing for engagements.
  • Advise clients on data strategy, transformation and analytics roadmaps.
  • Collaborate with delivery leaders to align commitments with execution.
  • Shape new offerings and contribute thought leadership at industry events.

Skills

GTM strategy
Business development
Stakeholder management
Executive presence
AI/ML analytics
Data governance

Education

Bachelor's in Data Science
Master's in Data Science
MBA/PhD a plus

Job description

IQVIA is seeking a senior strategist to own market strategy and client engagement for pharma data and analytics services across Commercial, R&D, and Medical Affairs. The role combines pharma domain expertise, consulting leadership, and business development to drive revenue growth and shape offerings.

You will partner with delivery teams to ensure successful outcomes, influence AI/ML investments, and develop roadmap visions for enterprise data initiatives.

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