Edward Charlesworth

About Edward Charlesworth

With over 15 years of experience in pharmaceutical and healthcare analytics, I specialize in AI strategy and commercial decision-making at Boehringer Ingelheim, where I lead the development of advanced AI and analytics solutions within the Omnichannel Excellence team. I focus on structuring and prioritizing commercial data assets to deliver actionable insights across key therapeutic areas, including cardiovascular, metabolic, and respiratory portfolios. My expertise lies in natural language processing (NLP), sentiment analysis, and BERT language models, which I leverage to design and implement frameworks such as payer and KOL engagement intelligence. By aligning machine learning outputs with commercial objectives, I aim to drive impactful business decisions, foster organizational capability in AI, and ensure sustainable value creation in the pharmaceutical landscape.

Experience

1. Senior Associate Director, Omnichannel Advanced Analytics

   Boehringer Ingelheim

   Mar 2023 — Present · Ridgefield, CT, US

   Lead AI and analytics strategy within Omnichannel Excellence at Boehringer Ingelheim, defining how commercial data assets are structured, prioritized, and translated into field-ready intelligence across Jardiance, Hernexeos, Jascayd, and Ofev.Built and deployed an NLP-based barrier signal detection pipeline across commercial field observations for a specialty respiratory launch - using zero-shot classification and sentiment analysis to identify which HCPs were blocked, how they felt about it, and whether the signal was strengthening or fading. Validated independently against field-flagged priority observations at 52% overlap.Conceived and directed a payer intelligence framework spanning expert profiles across 182 target payer organizations - identifying 458 P&T committee members, mapping indirect influence pathways through clinical KOL networks, and defining a dual-path engagement strategy for field and digital activation. Applied ML clustering, PageRank scoring, and NLP topic classification to surface next best action recommendations for account teams.Served as analytical architect and acceptance authority for ZS Associates\' integration of HCP-level marketing ROI into the Next Best Action engine for a top-10 diabetes brand - defining business logic requirements, identifying production risks, and governing validation before commercial deployment.Directed strategic oversight of omnichannel measurement platform design for a specialty respiratory launch - evaluating KPI architecture, engagement index methodology, and insight logic across a HCP universe.Defined the framework for Analytics Ready Datasets and Key Driver Analysis, directing external execution and governing delivery against commercial standards. Outputs integrated directly into the existing NBA engine.

Education

• Saint Joseph's University - Erivan K. Haub School of Business

  MBA, Accounting and Finance

  2004 — 2006

• Gettysburg College

  BA, History

  1997 — 2001

• Lancaster University

  Bachelor of Arts - BA, History and Political Science

  2000 — 2000

Skills

• Healthcare
• Healthcare Information Technology
• U.s. Health Insurance Portability and Accountability Act (Hipaa)
• Research
• Medicare
• Sas Programming
• Health Policy
• Analysis
• Medicaid
• Insurance
• Healthcare Management
• Inpatient Care
• Leadership
• Physicians
• Health Economics
• Healthcare Industry
• Pricing Strategy
• Strategic Planning
• Strategy
• Process Improvement
• Non-Profits
• Health Insurance
• Managed Care
• Quality Improvement
• Big Data
• Team Leadership
• Microsoft Excel
• Big Data Analytics
• Data Analysis
• Consulting
• Analytics
• Management
• Team Building
• Nonprofits
• Microsoft Sql Server
• Healthcare Consulting
• Sas Eg
• Business Analysis
• Performance Improvement
• Pharmaceutical Industry