Sr. Manager, Analytics & Insights

Alcon•Fort Worth, TX

1d•Onsite

About The Position

The Sr. Manager, Analytics & Insights, is primarily responsible for leading the development and scaling of a trusted data and analytics foundation for Global Supply Chain. This role enables data-driven decision-making across S&OP, S&OE, and execution by delivering standardized analytics, scalable reporting, and actionable insights aligned to business priorities. This role is critical to advancing a data-driven, integrated supply chain—shifting from fragmented, manual reporting to standardized, automated, and insight-led decision-making.

Requirements

Bachelor’s degree or equivalent years of directly related experience (or high school +15 yrs; Assoc.+11 yrs; M.S.+4 yrs; PhD+3 yrs)
The ability to fluently read, write, understand and communicate in English
7 Years of Relevant Experience
5 Years of Demonstrated Leadership

Nice To Haves

Proven ability to translate complex data into business insights and decisions
Experience with data platforms and advanced analytics techniques (e.g., predictive modeling).
Strong stakeholder management and communication skills across technical and business teams.
Demonstrated leadership experience in driving analytics initiatives at scale.
Strong organizational, interpersonal and communication skills.
Experience working with ambiguity and high learning agility.
Ability to build strong relationships and communicate with a breadth and variety of internal and external resources.
Strong experience in data analytics, visualization, and data engineering within a supply chain or operations environment.
Data Science experience.

Responsibilities

Build and govern the data foundation: Define data models, ownership, and quality standards to enable a single source of truth across supply chain
Establish analytics frameworks: Standardize reporting logic and analytics methodologies for forecast performance, inventory, service, and execution
Deliver insights and visualization: Develop dashboards and tools that translate complex data into clear, actionable insights for operational and executive decision-making
Enable planning and execution: Support S&OP and S&OE processes with consistent, scalable analytics and reporting
Partner with the business: Translate business needs into analytics solutions that drive outcomes (e.g., launches, recovery plans, network decisions)
Drive automation and scalability: Reduce manual reporting through automation; drive efficiency through analytics
Lead and develop talent: Build a high-performing analytics team and drive adoption of self-service tools
Oversee multiple data analysis and visualization projects, ensuring project goals are met through self-directed work and supervision.
Apply data science techniques such as machine learning, predictive modeling, and statistical analysis to extract insights.