Senior Director, Data Science

Symbotic

. Build the data science function from the ground up, defining its strategy, priorities, operating model, and roadmap .

Posted 11/10/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and leading data science functions, with a focus on AI, machine learning, and advanced analytics to drive operational efficiency and competitive advantage. Proven ability to develop strategies, mentor teams, and implement data-driven solutions in production environments.

Highest-signal resume keywords

Data Science LeadershipAI Strategy DevelopmentMachine Learning ImplementationPredictive Analytics ExpertiseTeam Building and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Applied Machine LearningAI OptimizationPredictive ModelingData-Driven Decision SystemsData Science GovernanceStatistical AnalysisOperations ResearchData Science StrategyQuantitative AnalysisProduction Environment Deployment

Soft Skills

Strong Business JudgmentEffective Communication

Industry Keywords

Data ScienceArtificial IntelligenceAdvanced AnalyticsOperational EfficiencyTechnical Leadership

About the role

Key responsibilities & impact

Build the data science function from the ground up, defining its strategy, priorities, operating model, and roadmap
Develop and execute a practical AI and data science strategy focused on improving the intelligence and efficiency of Exol’s platform
Identify high-value opportunities to apply machine learning, AI, optimization, predictive analytics, and advanced data techniques across the business
Partner with engineering, technology, operations, and commercial leaders to turn complex business and operational challenges into scalable, data-driven solutions
Build, mentor, and lead a high-performing team of data scientists, machine learning specialists, and related technical talent
Establish standards, tools, processes, and governance to move data science solutions from experimentation into reliable production environments
Advise Exol leadership on how AI and data can drive operational efficiency and competitive advantage

Requirements

What you’ll need

Minimum of 10 years of management experience and 15 years of total work experience
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline
Master’s degree or PhD preferred
Significant leadership experience in data science, AI, machine learning, advanced analytics, or related technical disciplines, ideally in complex technology or operational environments
Demonstrated experience building or substantially scaling a data science organization or capability
Strong knowledge of applied machine learning, AI, optimization, predictive modeling, and data-driven decision systems
Experience bringing data science solutions into production environments where reliability, scalability, and measurable business outcomes matter
Strong business judgment and communication skills
Ability to prioritize investments, recruit technical talent, and communicate sophisticated technical concepts and strategic trade-offs to executive and nontechnical audiences
Valid driver's license
Ability to drive and/or fly to client locations and company HQ

Benefits

Comp & perks

Up to 30% of travel may be required
Business travel expenses reimbursed based on program guidelines
Eligible employees may receive a corporate credit card based on role and travel requirements