Manager, Sales Operations - AI & Commercial Enablement

Date: Jul 15, 2026

Location: US-NJ-Bridgewater, US

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Company: Bausch+Lomb Companies Inc.

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.

Why this Role Matters

As the Manager, Sales Operations – AI & Commercial Enablement, you will help transform Sales Operations within the Consumer division into a strategic, AI-enabled capability that drives commercial performance and execution. Acting as a central partner across Sales, Finance, Supply Chain, IT, Data & Analytics, and Revenue Growth Management, you will connect strategy, forecasting, and financial insights to drive faster, smarter business decisions. This is a high-impact individual contributor leadership role responsible for building and scaling capabilities that improve forecast accuracy, optimize trade investment, and strengthen commercial execution.

What You’ll Do

Own and continuously improve the commercial forecast that feeds Finance, Supply Chain, and S&OP processes, translating field sales inputs, retailer intelligence, and consumption data into one aligned demand signal.

Maintain forecast accuracy and credibility through strong data governance, validation, continuous improvement, and incorporation of customer and voice-of-sales insights into long-range planning.

Lead or influence product allocation decisions during supply constraints and new product launches by balancing customer commitments, promotional activity, service levels, and working capital.

Partner with Revenue Growth Management and Finance to guide trade and promotional investment decisions using ROI, incremental volume, margin, and risk frameworks.

Establish KPIs, guardrails, dashboards, tools, and governance frameworks that convert insights into clear actions, accountability, and disciplined commercial execution.

Serve as the commercial lead and business owner for Sales Operations data and tools, defining business requirements and ensuring data accuracy and consistency across Sales, Finance, and Supply Chain systems.

Partner with IT, Data & Analytics, and commercial stakeholders to design and implement an AI-enabled Sales Decision Engine that supports forecast generation, trade optimization, scenario planning, promotion ROI modeling, and automated insight-driven decision making

What You’ll Bring

Required:
Bachelor’s degree required.

5+ years of experience in Sales Operations, Revenue Growth Management, Commercial Finance, strategy/analytics consulting, supply chain, or a related commercial role.

Strong analytical and problem-solving skills with the ability to translate data into decision-ready insights and actionable recommendations.

Strong business acumen with a focus on profitability, enterprise outcomes, and value-accretive decision making.

Demonstrated ability to influence without authority, drive cross-functional alignment, and operate as a neutral, fact-based decision maker across functions.

High level of accountability, execution discipline, comfort operating in ambiguity, and ability to build new commercial capabilities.

Specialized Training & Skills:
Advanced Excel skills required.

Advanced AI skills required.

Experience with data modeling and analytics tools, including SQL, Snowflake, or similar platforms.

Experience with visualization tools such as Power BI, Tableau, or comparable platforms.

Exposure to forecasting models, trade p…