Director, Marketing Analytics

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 skilled and results-driven Director of Marketing Analytics to lead our marketing analytics strategy. This role will oversee the development and execution of advanced analytical frameworks, including Marketing Mix Modeling (MMM), marketing campaign analytics and omnichannel orchestration to drive strategic decision-making and optimize marketing investments. The Director will serve as a key thought leader, partnering with cross-functional teams to deliver actionable insights that enhance ROI and accelerate business growth.

Key Responsibilities

Marketing Mix Modeling and optimization : Design and operationalize MMM to measure channel impact on leads and priority KPIs; translate rigorous statistical findings into budget optimization plans, and scenario guidance. Use model outputs to recommend adjustments and improvements to marketing strategies.

Campaign Analytics : Manage Marketing Tactic measurement framework. These involve Test & Learns, Pilots, Brand Lift, A / B testing, etc.

AI-Enabled Analytics : Bring GenAI and ML solutions into the workflow where they add real value whether thats automating Omnichannel orchestration tasks, running predictive models, or enabling self-serve analytics for marketers.

Stakeholder Management : Work closely with media, strategy, and Brand teams to understand business objectives and align analytical approaches with strategic goals. Participate in meetings to discuss insights and drive data-driven decision-making.

Vendor Management : Lead NPP Data science team and work closely with IM team to manage Campaign analytics data from diverse sources, including, promotional tactic data from Consumer and Health care professionals. Employ statistical software and programming languages (e.g., R, Python) to conduct rigorous analysis and present findings.

Reporting & Visualization : Collaborate with the COE (Center of Excellence) team to manage the Marketing 360 dashboard, creating visualizations that effectively present complex analytical insights in a clear and actionable way. Provide regular updates to Omnichannel Brand leads on the performance of marketing tactics and key support initiatives they oversee.

Research & Innovation : Stay current with industry trends and emerging technologies, and best practices in Decision science space. Propose and implement innovative techniques to enhance analytical capabilities.

Qualifications

Education : Master's degree in Statistics, Data Science, Economics, Marketing, or a related field.

Experience : 9+ years of experience in data analysis with a focus on marketing mix modeling or related fields. Demonstrated expertise in using statistical methods and tools to drive marketing insights. Bayesian methodologies are a plus.

Technical Skills : Proficiency in statistical software and programming languages such as Python, R, SAS, or MATLAB. Experience with data visualization tools like Power BI is a plus.

Analytical Skills : Strong analytical and problem-solving abilities with a solid understanding of statistical modeling techniques and their application in marketing.

Communication : Excellent verbal and written communication skills with the ability to present complex data findings to non-technical stakeholders in a clear and engaging manner.

Attention to Detail : Meticulous attention to detail with a strong focus on data accuracy and integrity.

Project Management : Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.

Note : This role is eligible for our hybrid work schedule allowing for up to 2 days / week of telecommuting from home and 3 days / 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.

For U.S. locations that require disclosure of compensation, the starting pay for this role is between $170,000.00 and $230,000.00. The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors.

U.S. based employees may be eligible for short-term and / or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.

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