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Bausch + Lomb

Director, Marketing Analytics Lead

US-NJ-BridgewaterPosted Yesterday

Job Description

  • Marketing Mix Modeling & Optimization: Design and operationalize advanced MMM frameworks, both Linear (traditional regression-based) and Bayesian, to quantify channel impact on leads, scripts, and priority KPIs. Translate statistical findings into budget optimization plans, scenario simulations, and forward-looking investment guidance. Lead efforts in evolving modeling methodology to incorporate hierarchical effects, adstock/saturation curves, and incrementality testing.
  • Omnichannel Analytics: Lead the measurement and optimization of integrated omnichannel marketing activity across HCP and consumer touchpoints, including digital, personal promotion, EHR, programmatic, social, email, and emerging channels. Build attribution and orchestration frameworks that quantify channel synergy, sequencing effects, and next-best-action opportunities. Support Brand Managers in delivering successful campaigns to drive brand priorities.
  • Customer Segmentation & Lifetime Value: Own the development, refresh, and activation of customer segmentation models (behavioral, value-based, needs-based, and predictive) across HCP and patient populations. Build and maintain Customer Lifetime Value (CLV) models that inform investment prioritization, NPP targeting strategy, and long-term portfolio planning.
  • Campaign Analytics & Measurement Framework: 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.
  • Agentic AI Transformation: Lead the transformation of marketing analytics from a report-driven function into an Agentic AI-driven capability. Champion the hands-on adoption of modern AI tools, including Claude, Codex, and other frontier LLM and agentic coding assistants, to accelerate analytics development, automate insight generation, and build autonomous AI agents that monitor performance, run diagnostics, recommend optimizations, and execute measurement workflows end-to-end. Partner with Data Science, IT, and AI/ML leadership to embed GenAI and agentic workflows across MMM, segmentation, campaign measurement, and omnichannel orchestration.
  • Marketing 360 Dashboard Ownership: Hold full end-to-end ownership of the Marketing 360 Dashboard, including its design, data pipelines, KPI definitions, governance, and evolution. Ensure the dashboard delivers a unified, trusted, and decision-grade view of marketing performance to Brand, Omnichannel, and Senior Leadership. Continuously elevate the dashboard from descriptive reporting into a predictive and prescriptive intelligence layer powered by AI agents.
  • Stakeholder Management: Partner closely with Media partners, Brand team, Marketing Hub and other stakeholders to translate business objectives into analytical roadmaps. Communicate insights and recommendations clearly to both technical and executive audiences and drive data-driven decision-making across the organization.
  • Team & Vendor Leadership: Lead the NPP Data Science team and partner with the Information Management (IM) team to manage marketing data assets across consumer and HCP promotional sources. Manage external analytics vendors and ensure delivery quality, methodological rigor, and alignment with internal standards.
  • Research & Innovation: Stay at the leading edge of marketing measurement, decision science, and AI/ML, including Bayesian methods, causal inference, agentic AI architectures, and large language model applications in analytics. Proactively pilot and scale innovations that meaningfully advance our measurement capabilities.
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    5001-10000 employees
    Bridgewater, NJ, US
    Website