Senior Manager, Data Science

Alcon

. Lead and develop a high-performing Data Science team .

Posted 10/21/2026full-timeFort Worth • Texas • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading Data Science teams and driving advanced analytics initiatives, including Machine Learning and Artificial Intelligence solutions. Proficient in managing data-driven projects and ensuring compliance with MLOps and governance standards.

Highest-signal resume keywords

Data Science LeadershipMachine Learning DevelopmentPredictive ModelingAWS BedrockStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPredictive AnalyticsStatistical AnalysisData Pipeline ManagementModel ValidationFeature EngineeringOptimization TechniquesGenerative AIAdvanced AnalyticsData Governance

Soft Skills

LeadershipMentoringExecutive CommunicationCollaborationStakeholder Engagement

Tools & Technologies

PythonSQLAWSSageMakerAzure AIOpenAICloud InfrastructureData Strategy ToolsOrchestration FrameworksBusiness Workflow Automation

Industry Keywords

Commercial AnalyticsSales AnalyticsMarketing AnalyticsSupply Chain AnalyticsDigital Transformation

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact

Lead and develop a high-performing Data Science team
Drive advanced analytics, predictive modeling, statistical analysis, Machine Learning, and Artificial Intelligence solutions across the organization
Manage a balanced portfolio of enterprise analytics initiatives spanning forecasting, optimization, predictive analytics, Machine Learning, and Generative AI
Formulate, recommend, and manage data-driven projects
Collaborate with the Data Strategy team to collect, prepare, and transform data from multiple sources
Select and apply advanced statistical procedures to obtain actionable insights
Validate, test, and cross-validate models for accuracy, scalability, and business applicability
Lead and mentor Data Scientists and Analysts and delegate priorities
Produce and communicate non-technical reports and presentations explaining outcomes, opportunities, limitations, and business impact
Partner with stakeholders to identify analytics opportunities supporting business strategy and decision-making
Monitor emerging trends in Data Science, AI, Machine Learning, Generative AI, and related technologies
Guide architecture decisions for AI platforms, cloud infrastructure, data pipelines, and enterprise analytics capabilities
Apply LLMOps principles including lifecycle management, observability, experimentation, governance, guardrails, and continuous improvement
Support implementation and operationalization of AI and Generative AI solutions using AWS Bedrock, Azure AI, OpenAI, and related technologies
Develop enterprise-scale AI solutions using foundation models, knowledge retrieval, orchestration frameworks, and business workflow automation
Establish governance, security, compliance, and performance monitoring frameworks for production Generative AI solutions
Ensure solutions adhere to MLOps, governance, validation, risk management, and compliance standards
Deliver impactful use cases across Sales, Marketing, Supply Chain, Manufacturing, and other enterprise functions

Requirements

What you’ll need

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)
7 Years of Relevant Experience
5 Years of Demonstrated Leadership
Fluency in reading, writing, understanding, and communicating in English
Experience leading Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics initiatives
Experience developing, validating, deploying, and monitoring Machine Learning and statistical models in production environments
Experience with predictive modeling, forecasting, classification, regression, clustering, optimization, and experimentation techniques
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, and responsible AI practices
Experience managing data pipelines, model maintenance, model monitoring, and production analytics solutions
Experience leading, mentoring, and developing Data Science teams
Strong stakeholder management, business partnership, and executive communication skills
Experience supporting Commercial, Sales, Marketing, Supply Chain, Manufacturing, or Digital Transformation initiatives through analytics
Visa Sponsorship: Yes

Benefits

Comp & perks

Health, life, and retirement benefits
Paid time off
Robust benefits package
Highly collaborative and diverse work environment
Equal opportunity employer
Reasonable accommodation for individuals with disabilities