AI & Data Standards and Enablement Lead

Date: Aug 13, 2026

Location: US-NJ-Bridgewater, US

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.

Bausch + Lomb’s Global Digital and AI organization seeks a passionate and highly motivated AI and Data Standards and Enablement Lead. In this role, you will help scale Bausch + Lomb’s enterprise AI and data agenda responsibly, consistently, and practically by defining enterprise AI policies and standards, leading data governance alignment, operationalizing AI governance and use‑case approvals, enabling business adoption, and tracking measurable adoption and governance outcomes.

This role will partner closely with Digital, AI, Enterprise Data Products, IT, Legal, Privacy, Security, Compliance, and business stakeholders to embed AI and data governance into day‑to‑day execution. This role reports to the Head of Enterprise Data Products.

• Define and operationalize enterprise AI policies, standards, playbooks, templates, and governance practices that support safe, scalable, and responsible AI adoption across the organization.
• Lead AI use‑case intake, risk assessment, approval workflows, documentation requirements, and compliance monitoring to ensure alignment with enterprise governance expectations.
• Partner with data owners, stewards, and Enterprise Data Products teams to establish governance frameworks, certified data product standards, and data lifecycle management practices.
• Drive data quality, metadata, lineage, access governance, data contracts, and catalog adoption to improve trust, discoverability, and readiness of governed data assets.
• Translate complex AI and data governance requirements into practical toolkits, training materials, decision frameworks, and business‑friendly guidance that accelerate adoption.
• Develop and execute change management, communications, and stakeholder enablement programs that promote responsible AI practices and governed data usage.
• Define, monitor, and report governance KPIs, adoption metrics, certification status, compliance trends, and data quality performance through dashboards and scorecards.
• Facilitate governance forums, working groups, and cross‑functional decision‑making while serving as a trusted advisor to business teams adopting AI and data capabilities.

• Bachelor's degree in Information Systems, Data Management, Analytics, Computer Science, Business, or a related field.
• 4+ years of experience in AI governance, data governance, data quality, data stewardship, analytics, enterprise enablement, digital transformation, or related disciplines.
• Demonstrated experience building, managing, or supporting data governance, data stewardship, data quality, master data management, or data product governance programs.
• Strong understanding of Responsible AI principles, including transparency, accountability, privacy, fairness, explainability, human oversight, security, and risk management.
• Experience influencing and collaborating across business, technology, legal, privacy, security, compliance, data, and analytics stakeholders.
• Proven ability to design governance processes, enablement programs, and metrics‑driven adoption strategies that support enterprise transformation initiatives.
• E…