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Director of AI and Analytics
Cayuse Holdings. Oversee the end-to-end development and operationalization of AI and analytics solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in overseeing AI and analytics solutions, with a strong focus on MLOps practices, team leadership, and translating business needs into actionable strategies. Proven ability to manage budgets and optimize resource allocation while ensuring compliance with industry standards.
Highest-signal resume keywords
AI/ML Lifecycle ManagementMLOps ImplementationTeam Leadership and DevelopmentData-Driven Decision MakingBudget Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceMachine LearningAnalyticsMLOpsModel DevelopmentModel DeploymentPythonSQLDatabricksData Visualization
Soft Skills
Interpersonal SkillsCommunication SkillsStakeholder ManagementProactive ApproachResults-Oriented Mindset
Certifications & Qualifications
AI/ML Platform Certifications
Industry Keywords
AI SolutionsAnalytics SolutionsOperational EfficiencyRegulatory ComplianceBusiness Value
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Oversee the end-to-end development and operationalization of AI and analytics solutions
- Define and implement technical standards for AI/ML delivery, ensuring scalability and production resilience
- Lead teams across artificial intelligence, machine learning, data science, and business analytics
- Prioritize AI initiatives based on business value and ROI
- Establish robust MLOps practices and monitor sustained model performance in production
- Translate business needs into actionable AI and data strategies
- Collaborate with leadership and business units to identify high-impact opportunities and define AI roadmaps
- Build and manage partnerships across technical and business teams
- Engage in long-term strategic planning aligned with enterprise goals
- Lead and cultivate a high-performing, diverse team through skill development, mentorship, and talent growth
- Foster collaboration, accountability, and continuous improvement
- Support team members' professional goals
- Develop and manage AI and analytics budgets
- Monitor and optimize resource allocation for cost-effectiveness and operational efficiency
- Oversee compliance with organizational policies, regulatory requirements, and industry best practices
Requirements
What you’ll need- Extensive experience in leading data science, machine learning, and analytics projects
- Proficiency in modern analytics platforms, including Databricks, Python, SQL, and related data management and visualization tools
- In-depth knowledge of the AI/ML lifecycle, including MLOps, model development, deployment, and monitoring
- Strong ability to translate business objectives into actionable, data-driven solutions
- Proven ability to build, inspire, and lead high-performing, diverse teams
- Exceptional interpersonal, communication, and stakeholder management skills
- Proactive and results-oriented approach
- Master's degree in Data Science, Computer Science, or related discipline preferred
- Certifications in relevant AI/ML platforms preferred
- Experience leading advanced analytics and AI programs in a corporate or technical environment preferred
- Ability to adapt to occasional schedule adjustments, overtime, or high-pressure situations