Medical Campaign Analytics Manager

Campaign execution throws off constant signal, engagement, channel performance, funnel movement, that's mostly noise until someone turns it into a point of view on whether it's working, whether it's the right kind of effort, and what should change next. That guidance sometimes takes the form of a recommendation backed by evidence, and sometimes takes the form of a model or tool built or leveraged to answer the question directly: scoped with the stakeholder, then built, validated, documented, deployed, and taught to them so they can use it themselves for in-the-moment decisions. Either way, the aim is a clear, standing read on the TA's execution, and tools built with enough reuse in mind that other campaigns, Therapeutic Areas, or teams can pick them up rather than start from scratch.

This work runs on a mix of independence and partnership: developing/maintaining analytics models and making tactical and measurement recommendations based on expert interpretation and analysis, while leaning on partners within medical analytics, Commercial I&A, Digital & Tech, and Global Medical to connect to the bigger picture and stay consistent with what's working elsewhere in the enterprise.

Key Responsibilities

• Recommend appropriate metrics and KPIs for medical campaigns with targets that are ambitious but achievable, in partnership with MCST, Field S&O, Medical Directors, and MALs
• Evaluate past campaign performance to inform investment decisions: whether to run a campaign type again, and what to change if so
• Compare campaign options head-to-head and advise stakeholders on which approach is more likely to perform
• Diagnose bottlenecks and drop-off points in the customer journey or medical educational funnel
• Assess where individual customers sit in their educational journey based on available signals
• Identify ways Field can use engagement signals across channels to inform who to engage and how
• Partner with the Insights team to connect execution KPIs to the customer insights that explain them
• Partner with the MUN Analytics team to connect early execution indicators to ultimate patient impact
• Partner with Commercial I&A counterparts to appropriately share best-practices and approaches
• Build and maintain close working relationships with MCSTs, Field S&O, Medical Directors, and MALs within the assigned TA

Basic Qualifications Required

• BA/BS - Data Science, Data Analytics, or related field
• Minimum of 3 years in stakeholder-facing analytics role

Strongly Preferred Qualifications

• 5-10 years in analytics roles
• 2+ years technical project leadership
• 2+ years engaging directly with business stakeholders
• 2+ years working with Medical Affairs
• 2+ years multichannel/omnichannel campaign analytics
• MA/MS - Data Science, Data Analytics, or related field

Preferred Technical Skills

• Python development (functions, classes, model training & validation)
• SQL, including complex, multi-part queries
• Working fluency in back-end software development concepts and vocabulary, enough to engage credibly with engineering & platform architecture partners
• Agentic AI frameworks & architecture
• Modeling & data science experience spanning multiple categories: predictive modeling (linear & logistic regression, decision trees, random forest, SVMs, KNN, time-series, neural nets), NLP (LDA, TF-IDF, Transformers, LSTMs, Word2Vec, RAG), causal modeling (A/B tests, propensity scoring, regression, uplifts, Bayesian inference), simulation (Monte Carlos, agentic-modeling, bootstrapping, resampling, Markov chains)

Business Skills

• Stakeholder communication & translation: explain modeling approaches, assumptions, and limitations to non-technical audiences; translate business questions into analytical problems and analytics outputs back to business implications; tailor the message to the audience
• Methodological judgement & discernment: understand and articulate how model outputs feed into downstream business decisions; identify the actual decision being supported and design approach around it; quantify business value or risk
• Stakeholder management: build rapport, trust, and deep partnership with medical affairs stakeholders; provide clarity and support throughout project lifecycle; push back constructively
• Prioritization & scoping: understand scope and complexity of a business problem; design solutions that fit the size and scale of the opportunity; sequence work across competing priorities
• Cross-functional & enterprise collaboration: work effectively with roles outside of I&A; prioritize outcomes with enterprise-wide benefits; understand constraints and expectations of cross-functional partners