Director, Marketing Analytics Lead

Overview

We are seeking a forward‑thinking, results‑driven Director of Marketing Analytics to lead the strategy, design, and execution of our marketing measurement and analytics capabilities. This role owns the end‑to‑end analytics framework spanning Marketing Mix Modeling (MMM), Omnichannel Analytics, Campaign Measurement, Customer Segmentation, and Customer Lifetime Value (CLV), and drives the transformation of our measurement framework into an AI‑driven Marketing Analytics ecosystem.

• Design and operationalize advanced MMM frameworks, both Linear (traditional regression‑based) and Bayesian, to quantify channel impact on leads, scripts, and priority KPIs; translate findings into budget optimization plans, scenario simulations, and forward‑looking guidance.
• Lead measurement and optimization of integrated omnichannel marketing activity across HCP and consumer touchpoints—including digital, personal promotion, EHR, programmatic, social, email, and emerging channels—and build attribution and orchestration frameworks to quantify channel synergy, sequencing effects, and next‑best‑action opportunities.
• Own development, refresh, and activation of customer segmentation models (behavioral, value‑based, needs‑based, predictive) and build & maintain CLV models that inform investment prioritization, targeting strategy, and long‑term portfolio planning.
• Manage the marketing tactic measurement framework, including pilots, brand lift studies, A/B testing, and incrementality experiments; establish standards for experimental design, holdout methodology, and statistical significance across the brand portfolio.
• Lead the transformation of marketing analytics into an agentic AI‑driven capability, championing adoption of modern AI tools (e.g., Claude, Codex, Lang Chain) to accelerate analytics development, automate insight generation, and build autonomous AI agents for performance monitoring and optimization.
• Own end‑to‑end Marketing 360 Dashboard—design, data pipelines, KPI definitions, governance, and evolution—to deliver a unified, trusted view of marketing performance and elevate it into a predictive, prescriptive intelligence layer powered by AI agents.
• Partner with media, brand teams, marketing hub, and other stakeholders to translate business objectives into analytical roadmaps; communicate insights and recommendations clearly to both technical and executive audiences.
• Lead the NPP Data Science team and collaborate with Information Management to manage marketing data assets; manage external analytics vendors to ensure quality and alignment with internal standards.
• Remain at the leading edge of marketing measurement, decision science, and AI/ML; pilot and scale innovations that advance measurement capabilities.

• Education:
  
  Master’s degree in Statistics, Data Science, Economics, Marketing, or related quantitative field.
• Experience:
  
  9+ years in marketing analytics with deep expertise in MMM (Linear & Bayesian), Customer Segmentation, CLV modeling, and omnichannel measurement frameworks. Pharmaceutical or healthcare analytics experience highly preferred.
• AI & Innovation Mindset:
  Proven passion for and experience driving AI‑led innovation; hands‑on use of modern AI assistants (Claude, Codex) and vision for deploying GenAI, ML, and agentic workflows in measurement and insight delivery.
• Measurement Framework Expertise:
  Deep understanding of MMM, multi‑touch attribution, incrementality, experimental design; familiarity with hierarchical models, priors, and probabilistic programming valued.
• Technical
  
  Skills:
  
  Proficient in Python, R, SAS, or comparable languages; experience with Bayesian libraries (PyMC, Stan, Num Pyro), ML frameworks, and data visualization tools (Power BI, Tableau); familiarity with LLM‑based and agentic frameworks is a strong plus.
• Analytical
  
  Skills:
  
  Rigorous understanding of statistical and causal modeling techniques and their application to marketing decisions.
• Communication:
  Excellent verbal and written skills; ability to translate complex modeling and AI concepts into clear narratives for non‑technical and executive stakeholders.
• Attention to Detail:
  Focus on data accuracy, methodological integrity, and reproducibility.
• Project Management:
  Proven ability to lead multiple complex analytics initiatives in parallel in a fast‑paced, matrixed environment.

Hybrid work schedule: up to 2 days per week telecommuting from home and 3 days per week in our Bridgewater, NJ corporate office.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Benefits include health, dental, vision, disability, life insurance, 401(k) with company match, tuition reimbursement, holidays, paid vacation, and other well‑being benefits.