jobapplier

Director of AI and Analytics

Cayuse Holdings

Director of AI and Analytics Location: Auston, TX - Hybrid Job Type: Independent Contract Start Date: ASAP Pay Rate: $90-120/hr Job Summary The Director of AI & Analytics is a strategic and technical leader who will drive the development and implementation of AI, data, and analytics solutions to deliver measurable business impact. Acting as a "player-coach," this role bridges business priorities with technical execution, ensuring the successful deployment of AI-driven, predictive analytics capabilities. The Director will oversee a multidisciplinary team, manage AI project portfolios, and inspire innovation while fostering a collaborative, high-performing culture.

Responsibilities

  • Key Responsibilities AI and Analytics Leadership Oversee the end-to-end development and operationalization of AI and analytics solutions, transforming insights into actionable outcomes.
  • 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, fostering a results-driven and innovative work culture.
  • Prioritize AI initiatives based on business value and ROI, driving their alignment with organizational goals.
  • Establish robust MLOps practices, ensuring sustained model performance and monitoring in production environments.
  • Act as a strategic advisor by translating business needs into actionable AI and data strategies.
  • Collaborate with leadership and business units to identify high-impact opportunities and define innovative AI roadmaps.
  • Build and manage effective partnerships across technical and business teams to achieve organizational priorities.
  • Engage in long-term strategic planning, aligning AI objectives with enterprise goals and fostering cross-departmental collaboration.
  • Development and Engagement Lead and cultivate a high-performing, diverse team, promoting skill development, mentorship, and talent growth.
  • Foster a culture of collaboration, accountability, and continuous improvement.
  • Act as a role model with transparent communication and a commitment to team empowerment.
  • Support team members in achieving their professional goals while driving individual and organizational success.
  • Operational and Fiscal Management Develop and manage AI and analytics budgets, ensuring alignment with strategic priorities.
  • Monitor and optimize resource allocation, emphasizing cost-effectiveness and operational efficiency.
  • Oversee compliance with organizational policies, regulatory requirements, and industry best practices.

Requirements

  • Required Skills and Experience Leadership & Collaboration Proven ability to build, inspire, and lead high-performing, diverse teams.
  • Exceptional interpersonal, communication, and stakeholder management skills.
  • Proactive and results-oriented, with the ability to deliver high-impact outcomes.
  • Analytics and Technical Expertise Extensive experience in leading data science, machine learning, and analytics projects.
  • Proficiency in modern analytics platforms, with expertise in 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 skills in translating business objectives into actionable, data-driven solutions.

Preferred

  • Qualifications Master’s degree in Data Science, Computer Science, or related discipline.
  • Certifications in relevant AI/ML platforms (e.g., Databricks, cloud architecture).
  • Experience leading advanced analytics and AI programs in a corporate or technical environment.

Overview Job Title

This position is based in Austin, Texas, and requires working on-site two days per week as part of a hybrid work model.

Work Environment

& Additional Information Hybrid work model: On-site work in Austin, Texas, at least two days per week, with additional days as required by business needs. Ability to adapt to occasional schedule adjustments, overtime, or high-pressure situations. Frequent use of computers, virtual communications, and technology platforms.