Head of Enterprise AI Solutions

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.

** Position Summary*
* The Head of AI Products is a leader responsible for owning the Enterprise AI product portfolio end to end, including AI product strategy, delivery, governance, and responsible deployment at scale.

This is a hands-on leadership role combining technical depth, product ownership, and people leadership. The Head of AI Products builds and leads a team of AI engineers and product-oriented practitioners while remaining actively involved in designing, building, and shipping AI products, particularly AI agents that reason, use tools, and execute end to end business workflows.

Success in this role is measured by AI products delivered and adopted, business outcomes achieved, and the establishment of a trusted, scalable AI governance framework that enables innovation while managing risk.

** Key Responsibilities*
* + Own the enterprise AI product strategy and roadmap, aligning AI investments to strategic business priorities.

+ Reimagine enterprise workflows with an AI first product mindset, identifying and prioritizing high value opportunities for AI driven transformation.

+ Partner with executive and business leaders to frame ambiguous problems, quantify value, and translate opportunities into clear AI product hypotheses.

+ Define and own product KPIs for each AI product; track adoption, usage, and business impact post-launch, reporting outcomes to executive stakeholders.

+ Drive product discovery and validation through user research, prototyping, and structured experimentation before committing to full-scale build.

+ Embed MVP discipline into AI product delivery scope minimum viable releases, gather user feedback early, and iterate based on observed outcomes.

+ Serve as the voice of the internal customer, maintaining continuous feedback loops with business users to inform backlog priorities and product direction.

+ Provide dotted-line leadership to AI Agent Builders embedded within business functions, ensuring alignment to enterprise AI standards, architecture, governance, and delivery practices.

+ Define and maintain the operating model for how function-embedded Agent Builders collaborate with the central AI Products team including shared tooling, code standards, model selection guidelines, reusable components, and escalation paths.

+ Partner with functional leaders to scope Agent Builder roles, support hiring and onboarding, and ensure embedded talent is equipped to build and deploy AI agents that meet enterprise-grade quality and compliance requirements.

+ Own and lead AI governance across the enterprise, including policies, standards, guardrails, and operating models.

+ Establish and enforce Responsible AI practices, including model risk management, human-in-the-loop design, escalation paths, monitoring, and auditability, with specific attention to regulatory requirements in the pharmaceutical and Med Tech space (e.g., FDA, HIPAA, GxP, and applicable data privacy regulations).

+ Remain actively hands on in designing and building AI products and agent based solutions.

+ Build and review AI agents using Python, LLM APIs, and modern agent frameworks that analyze information, call tools/APIs, and complete tasks end to end.

+ Ensure production ready delivery using enterprise AI platforms (e.g., Azure AI services), with strong security, observability, and reliability.

+ Build, lead, and develop a high performing AI Products team.

+ Foster a culture of product ownership, build first execution, and accountability.

+ Operate within Agile product delivery models, managing backlogs, iterative releases, and outcome-based prioritization.

+ Balance speed of innovation with enterprise grade quality, governance, and operational stability.

+ Lead AI product delivery within Agile frameworks, including ownership of product backlogs, sprint planning, backlog refinement, release planning, and sprint retrospectives.

+ Accountable for iterative, outcome-based delivery  managing scope, schedule, and quality across concurrent AI product…