Director, Marketing Analytics Lead

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the worldfrom the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.

Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe.

We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

** Overview*
* We are seeking a forward-thinking and results-driven  
** Director of Marketing Analytics
** to lead the strategy, design, and execution of our marketing measurement and analytics capabilities. This role will own the end-to-end analytics framework spanning Marketing Mix Modeling (MMM), Omnichannel Analytics, Campaign Measurement, Customer Segmentation, and Customer Lifetime Value (CLV), and will be a driving force behind transforming our traditional measurement framework into an Agentic AI-driven Marketing Analytics ecosystem.

The Director will partner closely with Brand ECP/DTC leads, Media, Strategy, and Data Science teams to deliver actionable insights that enhance marketing ROI and accelerate business growth. Critically, this leader will champion the adoption of GenAI and agentic AI workflows to automate measurement, scale insight generation, and enable a new generation of always-on, self-serve marketing intelligence.

** Key Responsibilities*
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** 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.

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** 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.

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** 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.

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** 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.

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** 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…