Overview Job Title: Director of AI and AnalyticsLocation: 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. This position is based in Austin, Texas, and requires working on-site two days per week as part of a hybrid work model. 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. Strategic Leadership and Partnerships • 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. Team 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. Qualifications 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. 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.