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Senior Manager, Data Science (Enterprise Analytics & Generative AI)

United States
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Lead and develop a high-performing Data Science team while driving advanced analytics, predictive modeling, and AI solutions. Manage enterprise analytics initiatives across forecasting, optimization, predictive analytics, machine learning, and Generative AI. Requires 7 years of relevant experience and 5 years of demonstrated leadership, with strong production ML/statistics, Python/SQL, and cloud AI/LLMOps experience.

Key Highlights
Lead a Data Science team and deliver enterprise analytics and AI initiatives
Own a balanced portfolio spanning forecasting, optimization, predictive analytics, ML, and Generative AI
Onsite role in Fort Worth, Texas; partner with business and technology stakeholders to drive measurable impact

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Key Responsibilities
Formulate, recommend, and manage data-driven projects aligned to business interests.
Collaborate with the Data Strategy team to collect, prepare, and transform data from multiple sources for analytics and AI initiatives.
Select and apply advanced statistical procedures to generate actionable insights.
Validate, test, and cross-validate models to ensure accuracy, scalability, and business applicability.
Lead and mentor Data Scientists and Analysts, delegating priorities to deliver key initiatives.
Produce and communicate non-technical reports and presentations translating project outcomes, limitations, and business impact.
Partner with stakeholders to identify opportunities where insights and advanced analytics inform business strategy and decision-making.
Stay current with emerging trends in Data Science, Artificial Intelligence, Machine Learning, and Generative AI.
Guide architecture decisions related to AI platforms, cloud infrastructure, data pipelines, and enterprise analytics capabilities.
Apply LLMOps principles including model lifecycle management, observability, experimentation, governance, guardrails, and continuous improvement.
Support implementation and operationalization of AI and Generative AI solutions on cloud-based platforms such as AWS Bedrock, Azure AI, and OpenAI.
Establish governance, security, compliance, and performance monitoring frameworks for production Generative AI solutions to ensure scalability, reliability, and measurable business impact.
Ensure solutions adhere to MLOps, governance, validation, risk management, and compliance standards.
Mentor and develop a high-performing data science team and deliver impactful use cases across Sales, Marketing, Supply Chain, Manufacturing, and other enterprise functions.
Technical Skills Required
Python SQL Machine Learning

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Benefits & Perks
Health insurance
Life insurance
Retirement benefits

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Nice to Have
Master's degree in Data Science, Analytics, Computer Science, Business Administration, Statistics, Engineering, or related field
Experience leading Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics initiatives
Experience with Python, SQL, AWS, SageMaker, Bedrock, Azure AI, or similar cloud-based analytics and AI platforms
Strong knowledge of Machine Learning, MLOps, model governance, feature engineering, model validation, responsible AI practices, and enterprise-scale implementation
Experience managing data pipelines, model maintenance, model monitoring, and production analytics solutions
Strong stakeholder management, business partnership, and executive communication skills
Experience supporting Commercial, Sales, Marketing, Supply Chain, Manufacturing, or Digital Transformation initiatives through analytics
Experience developing enterprise-scale AI solutions leveraging foundation models, knowledge retrieval, orchestration frameworks, and business workflow automation

Job Description

At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you’ll be recognized for your commitment and contributions and see your career like never before. Together, we go above and beyond to make an impact in the lives of our patients and customers.We foster an inclusive culture and are looking for diverse, talented people to join Alcon. As a
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Job Overview
Posted Oct 23, 2026
Employment Full-time
Experience Not Applicable
Location United States
Category Data Science
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