Head of Enterprise Data Products

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 world from 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.

The Head of Enterprise Data Products is a strategic leader responsible for enabling Bausch + Lombs data-driven transformation. This role ensures the organization leverages data as a core asset, driving excellence in data acquisition, contract management, data lake and warehouse architecture, incentive compensation and call planning, reporting enablement, and data governance. The position fosters collaboration across IT, business stakeholders, analytics, data privacy, compliance, and legal, and supports strategic initiatives such as AI, ML, agentic automation, Mar Tech, Next Best Action, Market Mix Modeling, and Trade Promotion Optimization.

Hands‑on expertise in AI, ML Ops, and data product engineering is essential to operationalize advanced analytics and automation across enterprise functions.

• Lead and mature data acquisition, contract management, and integration of IQVIA, IRI/Circana, direct and indirect sales, and consumer trade promotion data sources.

• Oversee data warehouse and lake architecture, feature engineering, and enablement for reporting and analytics.

• Drive excellence in data product management, closing gaps in stewardship, master data management (MDM), customer data platforms (CDP), and governance.

• Enable strategic initiatives (Mar Tech, NBA, Market Mix Modeling) by providing timely, accurate, and reliable data to analytics and business teams.

• Manage and track third‑party data access agreements, ensuring compliance and operational enhancements.

• Serve as business lead for master data management projects and capabilities.

• Develop and maintain strong relationships across IT, business stakeholders, analytics, data privacy, compliance, and legal.

• Lead cross‑functional Data Governance Council meetings, negotiating and gaining consensus on data issue resolution, metric definitions, metadata, and policies.

• Govern rules for data values, structure, and user access; sharpen SOPs for data stewardship.

• Champion change management and communication plans for information management initiatives.

• Engage with industry best practices to build excellence in customer data.

• Provide hands‑on leadership in AI, ML Ops, and data product engineering to operationalize advanced analytics and automation across enterprise functions.

• Bachelors degree required; advanced degree in business, data science, or related discipline preferred.

• 5+ years of experience required in the pharmaceutical, Med Tech, or consumer health industry; 7+ years preferred.

• 6+ years of demonstrated data project management, delivering end‑to‑end master data, reference data, metadata, data warehouse, data mart, reporting, and data asset ownership.

• Deep expertise in IQVIA, IRI/Circana, consumer trade promotion, Med Tech, market mix modeling, CDP, MDM, Snowflake, and feature engineering.

• Proven experience in data product management, data acquisition, data contracting, and data governance.

• Hands‑on experience with AI, ML Ops, and data product engineering, including operationalizing machine learning models and agentic workflows.

• Effective communication and organization skills; ability to handle multiple tasks and ongoing…