Information Advisor, Large Pharma

Key Responsibilities

• Define and execute the Go-To-Market (GTM) strategy for pharma data and analytics services.
• Develop and maintain strong relationships with senior client stakeholders.
• Lead proposal development, solution shaping, and pricing strategies for new engagements.
• Identify emerging market trends and client needs to inform service offerings and thought leadership.
• Serve as a trusted advisor to pharmaceutical clients on data strategy, data transformation and modeling, and analytics.
• Support customers with roadmap development for enterprise data initiatives.
• Influence client decisions on investments in AI/ML, real-world evidence (RWE), and advanced analytics capabilities.
• Partner with delivery leaders to ensure alignment between GTM commitments and execution.
• Oversee solution design and delivery quality for strategic engagements.
• Act as escalation point for client issues and ensure successful outcomes across Commercial, R&D, and Medical projects.
• Shape new offerings and accelerators for pharma analytics (e.g., AI-driven insights, clinical trial optimization).
• Share thought leadership content and represent the firm at industry conferences.

Qualifications & Experience

• Bachelor’s in Data Science, Health Informatics, Life Sciences, or related field; Master’s in Data Science, Health Informatics, Life Sciences, or related field (MBA/PhD a plus).
• 10+ years in healthcare/pharma data and analytics, with at least 5 years in consulting / client facing roles.
• Proven track record of driving GTM strategies and leading large-scale data programs for global pharma clients.
• Expertise in advanced analytics (AI/ML, NLP, predictive modeling) and pharma data ecosystems.
• Strong business development skills with experience in revenue growth and client acquisition.
• Exceptional executive presence and ability to influence senior stakeholders.
• Hands-on experience with diverse healthcare and pharma datasets, including, but not limited to: Claims data, Prescription and sales data, Electronic Medical Records (EMR) and lab data, Physician reference data.
• PREFERRED: CHDA, CPHIMS, or certifications in Pharma Analytics and Clinical Data.

Pay

The potential base pay range for this role, when annualized, is $111,200.00 - $349,000.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time).